Paper Citation Record · LEDGER

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

As of 21 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 100 inbound Pith citation observations for arXiv:1708.06733.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1708.06733 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T23:08:20.650857Z

measured 153 of 153 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 100 of 220 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:17:20.519150Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-11T00:47:43.661742Z

Reference resolution

53 of 53 outbound references displayed

verified exact7
verified fuzzy43
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 435a89e8-ddb5-4878-ac59-4431fe0151c3 · outbound

This paper cites ImageNet large scale visual recognition competition.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain ImageNet large scale visual recognition competition

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.876173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 37e4c7d7-31a8-4cf9-a1c7-c259e0cb5a4a · outbound

This paper cites Speech recognition with deep recurrent neural networks.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Speech recognition with deep recurrent neural networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.883481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9e73de3c-50cc-4014-82f6-8390c0ae53b7 · outbound

This paper cites Multilingual Distributed Representations without Word Alignment.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Multilingual Distributed Representations without Word Alignment

Reference 3

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 89f245a7-0f4b-4aeb-8010-171de06a64b3 · outbound

This paper cites Neural machine translation by jointly learning to align and translate.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Neural machine translation by jointly learning to align and translate

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.886837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5de03b91-7230-402c-bc52-7f58b97f2492 · outbound

This paper cites Playing atari with deep reinforce- ment learning.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Playing atari with deep reinforce- ment learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.890258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bcba39a8-ab9b-410c-936c-1850a3734fa0 · outbound

This paper cites J., et al.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain J., et al

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d9c12d39-8631-434c-b4ab-9d7afe4049be · outbound

This paper cites What I learned from competing against a ConvNet on ImageNet.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain What I learned from competing against a ConvNet on ImageNet

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.894092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d0804c64-3456-4e41-8e2f-46ba2a11b8c4 · outbound

This paper cites Deep con- volutional neural network based species recognition for wild animal monitoring.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Deep con- volutional neural network based species recognition for wild animal monitoring

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.897675Z

Source-reported events for the cited work

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Observation 9b59a742-e2ec-44c2-8b03-e4158130d339 · outbound

This paper cites PoseNet: A convolutional network for real-time 6-dof camera relocalization.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain PoseNet: A convolutional network for real-time 6-dof camera relocalization

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e5e1bc1d-a951-47fc-9398-c47122755616 · outbound

This paper cites Google Cloud Machine Learning Engine.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Google Cloud Machine Learning Engine

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.901508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 185930a4-5b8d-4387-8018-ae9eb39493f5 · outbound

This paper cites Azure Batch AI Training.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Azure Batch AI Training

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.905124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 306a1723-a6b0-43e7-8edd-002e92899835 · outbound

This paper cites Deep Learning AMI Amazon Linux Version.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Deep Learning AMI Amazon Linux Version

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.908787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2895c020-38b7-4646-86e7-2d66bd3cd58e · outbound

This paper cites Cloud giants ‘ran out’ of fast GPUs for AI bofﬁns.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Cloud giants ‘ran out’ of fast GPUs for AI bofﬁns

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.911900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5d019dcd-01ed-4b83-9639-944554d4bb16 · outbound

This paper cites Imagenet classiﬁca- tion with deep convolutional neural networks.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Imagenet classiﬁca- tion with deep convolutional neural networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.750830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8f1f7dbf-cd2c-4e47-89f1-668a5089b895 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Very deep convolutional networks for large-scale image recognition

Reference 15

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Source-reported events for the cited work

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Observation 391d7013-ea9d-4e5a-b707-31a610468ed1 · outbound

This paper cites Re- thinking the inception architecture for computer vision.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Re- thinking the inception architecture for computer vision

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.758966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b4d078c1-2e20-48e2-8b9f-c8926b360381 · outbound

This paper cites Robust physical-world attacks on machine learning models.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Robust physical-world attacks on machine learning models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.762804Z

Source-reported events for the cited work

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Observation d8642472-1e30-4a77-b209-378f8fed8ba0 · outbound

This paper cites Deep learning in neural networks: An overview.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Deep learning in neural networks: An overview

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.766673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8467962b-b51b-4033-9bec-5b112ac1dbf1 · outbound

This paper cites Training a 3-node neural network is np-complete.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Training a 3-node neural network is np-complete

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.771110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c78f8bb3-7196-4caa-9b99-951927393c34 · outbound

This paper cites A survey on transfer learning.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain A survey on transfer learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.775012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1964d2ac-0ac0-4c60-8800-96ffc9895c97 · outbound

This paper cites Domain adaptation for large- scale sentiment classiﬁcation: A deep learning approach.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Domain adaptation for large- scale sentiment classiﬁcation: A deep learning approach

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.782326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ee8806bb-a694-47f9-b5d0-e872a3decae2 · outbound

This paper cites Cnn features off-the-shelf: An astounding baseline for recognition.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Cnn features off-the-shelf: An astounding baseline for recognition

Reference 22

Resolution: verified exact; doi, observed 2026-05-12T23:08:20.734024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 36ce1dd8-5033-421f-98c9-6e1afdec788b · outbound

This paper cites Correlating Fourier descriptors of local patches for road sign recognition.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Correlating Fourier descriptors of local patches for road sign recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.786125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 48f13424-6c70-4251-ba47-ad0322233031 · outbound

This paper cites Adversarial machine learning.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Adversarial machine learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:08:20.718781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6480da3a-617f-4670-9ca8-a327e77775ef · outbound

This paper cites Adversarial classiﬁcation.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Adversarial classiﬁcation

Reference 25

Resolution: verified exact; doi, observed 2026-05-12T23:08:20.690856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b57bab7-e14a-4bec-ac00-228bb6651ba3 · outbound

This paper cites Adversarial learning.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Adversarial learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:08:20.725123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 77aab5a1-6194-4346-84c7-5690f796e462 · outbound

This paper cites Good word attacks on statistical spam ﬁlters.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Good word attacks on statistical spam ﬁlters

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.789344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 070c664a-9a0c-49bb-81fe-818f8417529e · outbound

This paper cites On Attacking Statistical Spam Filters.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain On Attacking Statistical Spam Filters

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.792565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f6987b22-0d91-4b63-b64a-b3924460a7fc · outbound

This paper cites Paragraph: Thwarting signature learning by training maliciously.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Paragraph: Thwarting signature learning by training maliciously

Reference 29

Resolution: verified exact; doi, observed 2026-05-12T23:08:20.729706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6bbcd0e7-a200-4815-aea6-3bbf0bcdc93f · outbound

This paper cites Allergy attack against automatic signa- ture generation.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Allergy attack against automatic signa- ture generation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.796340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b2eac28-a8cb-409f-a38f-87e308c4be17 · outbound

This paper cites Advanced allergy attacks: Does a corpus really help.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Advanced allergy attacks: Does a corpus really help

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.799815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e530a3a-2494-4d66-82f3-52faad3cd4f6 · outbound

This paper cites Intriguing properties of neural networks.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Intriguing properties of neural networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.802924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7352d5dd-f76d-451f-8ea3-014d538ebc29 · outbound

This paper cites Explaining and harness- ing adversarial examples.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Explaining and harness- ing adversarial examples

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.806308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 72f5c16f-64d0-4f56-a9fc-dd4d5d3678c3 · outbound

This paper cites Practical black-box attacks against machine learning.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Practical black-box attacks against machine learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.809429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b4b4c2a-feb1-42c5-8dc0-1680c379efaa · outbound

This paper cites Uni- versal adversarial perturbations.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Uni- versal adversarial perturbations

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.812465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c7793532-34c9-45eb-8094-f9be37a46b11 · outbound

This paper cites Auror: Defending against poisoning attacks in collaborative deep learning systems.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Auror: Defending against poisoning attacks in collaborative deep learning systems

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:08:20.704692Z

Source-reported events for the cited work

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Observation fd5e726b-58cd-4a01-b769-5a5492781743 · outbound

This paper cites Learning algorithms for classiﬁcation: A comparison on handwritten digit recognition.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Learning algorithms for classiﬁcation: A comparison on handwritten digit recognition

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.815406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f0844025-898a-4710-ba16-d6bd503736c2 · outbound

This paper cites Convexified Convolutional Neural Networks.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Convexified Convolutional Neural Networks

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1036c38a-a138-4f8b-922c-4e968ceb46cd · outbound

This paper cites Faster r-cnn: Towards real- time object detection with region proposal networks.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Faster r-cnn: Towards real- time object detection with region proposal networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.818633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2b2ff52f-1103-4b57-948d-c2263ed213be · outbound

This paper cites Trafﬁc sign detection for us roads: Remaining challenges and a case for tracking.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Trafﬁc sign detection for us roads: Remaining challenges and a case for tracking

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.821657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 400f5117-3f4a-47e2-bf8d-d7e87a264bf8 · outbound

This paper cites Decaf: A deep convolutional activation feature for generic visual recognition.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Decaf: A deep convolutional activation feature for generic visual recognition

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.828619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7c70bd67-8be0-4373-a252-f5cb4989ff04 · outbound

This paper cites Transfer learning and ﬁne-tuning convolutional neural networks.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Transfer learning and ﬁne-tuning convolutional neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.832355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2930803c-fc3c-4935-aeb5-8501bf77058e · outbound

This paper cites Caffe Model Zoo.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Caffe Model Zoo

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.836010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 746982e7-f18a-4878-b56a-e0875512feda · outbound

This paper cites Trafﬁc sign detection and recognition using fully convolutional network guided proposals.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Trafﬁc sign detection and recognition using fully convolutional network guided proposals

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.839461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e92e5b4b-51bc-4cdd-8066-b73911e15021 · outbound

This paper cites Transfer learning - machine learning’s next frontier.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Transfer learning - machine learning’s next frontier

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.843636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 40b94978-7c87-42ec-b65f-f09b028925a1 · outbound

This paper cites A comprehensive guide to ﬁne-tuning deep learning models in Keras.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain A comprehensive guide to ﬁne-tuning deep learning models in Keras

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.847684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 69ba003e-4696-40d4-8bd9-90d6400630fd · outbound

This paper cites Network in Network Imagenet Model.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Network in Network Imagenet Model

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.852116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 282602f0-f8be-496a-9beb-2aa38c053b44 · outbound

This paper cites Caffe models in TensorFlow.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Caffe models in TensorFlow

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.856009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d6171fc6-646b-47b9-881a-47bed52ead09 · outbound

This paper cites Caffe to Keras converter.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Caffe to Keras converter

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.859948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb27613a-16ac-4492-8972-cc33cb2f39a8 · outbound

This paper cites Convert models from Caffe to Theano format.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Convert models from Caffe to Theano format

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.863694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf77fcea-27da-4704-970e-248201854db2 · outbound

This paper cites Converting trained models to Core ML.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Converting trained models to Core ML

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.867481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5b90d638-a3bb-477e-9f87-60ff5ee2031d · outbound

This paper cites Convert Caffe model to Mxnet format.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Convert Caffe model to Mxnet format

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.872201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63c4f7e6-8b97-4b15-8593-437cfd340b05 · outbound

This paper cites caffe2neon.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain caffe2neon

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T23:08:20.879753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 5a112b43-ec26-42cf-9923-4f4c2525a60e · inbound

Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning cites this paper.

Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-14T00:38:54.692966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a19036a9-ce77-4cbb-9da7-7bd6ec45ea56 · inbound

Quantifying Transparency of Machine Learning Systems through Analysis of Contributions cites this paper.

Quantifying Transparency of Machine Learning Systems through Analysis of Contributions BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:16:31.755517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7e1fdca4-5857-4876-a226-677eb74ec238 · inbound

Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection cites this paper.

Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T15:43:28.840933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58a7c64b-e5c4-4dcf-9c4a-4d39cc53a3be · inbound

TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems cites this paper.

TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T15:29:09.484915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80059b4a-fd56-4d1f-ab34-30f8dacf8b44 · inbound

Model Agnostic Defence against Backdoor Attacks in Machine Learning cites this paper.

Model Agnostic Defence against Backdoor Attacks in Machine Learning BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T14:57:44.870946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5ccde4c-6cdf-465f-8ca7-d7ee6eeb0f9f · inbound

Detection of Backdoors in Trained Classifiers Without Access to the Training Set cites this paper.

Detection of Backdoors in Trained Classifiers Without Access to the Training Set BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:59.297027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9464250-1e79-44f6-87d3-e6fa4ca07b23 · inbound

Unsolved Problems in ML Safety cites this paper.

Unsolved Problems in ML Safety BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-05-16T20:45:27.534567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f325026a-3e31-47f7-953b-677be17ae1b3 · inbound

The Curse of Recursion: Training on Generated Data Makes Models Forget cites this paper.

The Curse of Recursion: Training on Generated Data Makes Models Forget BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T14:04:58.318655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 988b0abf-eb12-4374-b3c2-689297fcaf60 · inbound

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cites this paper.

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 148

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T17:56:23.484936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation add757e3-9109-4ac6-98d7-d6bbebbb4c61 · inbound

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models cites this paper.

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-17T14:43:30.091068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de5ec65f-8aca-4a26-876b-5c925c68af15 · inbound

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning cites this paper.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-23T23:13:36.998754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 07041f34-8b93-474d-87cd-ae0e05d0acca · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:58:26.044695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dfed1c16-0d6d-4a34-8d2f-abe227ddf719 · inbound

Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning cites this paper.

Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-23T17:25:43.841544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c0fa4ebf-3130-46e2-82ab-bfaba1f0e5a8 · inbound

Combining Machine Learning Defenses without Conflicts cites this paper.

Combining Machine Learning Defenses without Conflicts BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 171

Resolution: unresolved; no resolver link, observed 2026-08-12T20:26:05.065326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64999e6e-91d6-497e-a1f8-b79be0db6e1a · inbound

BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation cites this paper.

BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T19:06:41.089831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 325eccb4-d627-4aa0-8c1b-6052343977f7 · inbound

Countering Backdoor Attacks in Image Recognition: A Survey and Evaluation of Mitigation Strategies cites this paper.

Countering Backdoor Attacks in Image Recognition: A Survey and Evaluation of Mitigation Strategies BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T18:52:54.941970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4783f185-c79d-4a9a-8326-313446a9032a · inbound

DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning cites this paper.

DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-23T17:58:17.140536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 30f58cda-cce8-46e1-afba-7ea68684bf45 · inbound

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles cites this paper.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.311560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0a42392-ed26-494c-8bf5-f26b347b00eb · inbound

AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection cites this paper.

AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T15:26:45.588219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b99f7aa8-36fc-4fc4-8f11-81a23ad99b2d · inbound

Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians cites this paper.

Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T15:20:34.960303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8c86fbf-0e38-4433-b46e-b3ea7b89908b · inbound

TrojanEdit: Multimodal Backdoor Attack Against Image Editing Model cites this paper.

TrojanEdit: Multimodal Backdoor Attack Against Image Editing Model BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T15:06:14.682377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d16b04d-4ab1-4ce1-b487-e7e866772ca1 · inbound

Twin Trigger Generative Networks for Backdoor Attacks against Object Detection cites this paper.

Twin Trigger Generative Networks for Backdoor Attacks against Object Detection BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:59.495429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2c95cc2-430a-457c-8f1a-5c843b53c272 · inbound

MADE: Graph Backdoor Defense with Masked Unlearning cites this paper.

MADE: Graph Backdoor Defense with Masked Unlearning BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T11:48:09.428229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b7a5d5f-1803-455e-8544-effc77bf064f · inbound

LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm cites this paper.

LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:22.439689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1dba62a-8c6f-44b4-81bc-4802da6a54e1 · inbound

Quantized Delta Weight Is Safety Keeper cites this paper.

Quantized Delta Weight Is Safety Keeper BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T10:08:55.726143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b7d0c7d-be26-4db7-b3fb-62ccdcb65853 · inbound

Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP cites this paper.

Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-23T08:17:43.764233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4105f32a-e480-4de6-a045-ac00bc41737a · inbound

BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks cites this paper.

BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T05:07:40.323369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dff1168-b78f-4908-bc8e-401a2952e8bb · inbound

LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks cites this paper.

LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T21:56:13.837748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75861631-31ce-4b09-b127-a0e0c41bf12d · inbound

Backdooring Outlier Detection Methods: A Novel Attack Approach cites this paper.

Backdooring Outlier Detection Methods: A Novel Attack Approach BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T21:07:43.348901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7dc56f5-ceb5-43d4-a673-1fe533972681 · inbound

Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation cites this paper.

Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:24.457380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2205c4c-40c8-447a-b569-9040e9812273 · inbound

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage cites this paper.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T20:30:10.226536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05bb18e0-32ef-4f8a-a0d5-5036b28485c8 · inbound

Data Free Backdoor Attacks cites this paper.

Data Free Backdoor Attacks BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T20:00:28.631573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2d0f092-447f-4a52-bd37-c2bac77448ca · inbound

Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger cites this paper.

Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T19:02:19.708598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9c25494-f5a3-46fa-a8ba-97a529e47015 · inbound

Stealthy and Robust Backdoor Attack against 3D Point Clouds through Additional Point Features cites this paper.

Stealthy and Robust Backdoor Attack against 3D Point Clouds through Additional Point Features BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T18:51:07.280699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55f7a838-fd33-48a9-a59d-cbfaa2abce7b · inbound

Deep Learning Model Security: Threats and Defenses cites this paper.

Deep Learning Model Security: Threats and Defenses BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T17:24:25.910669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dc45f49-85b5-4f84-b095-a0a06e8f61a0 · inbound

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces cites this paper.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T16:39:23.378613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 117e5c92-7527-4511-885f-157d419bac20 · inbound

One Pixel is All I Need cites this paper.

One Pixel is All I Need BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:48:25.991577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d39342aa-ff2a-4d6c-827e-f3af4dd33428 · inbound

Optimizing AI-Assisted Code Generation cites this paper.

Optimizing AI-Assisted Code Generation BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.840125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 232ec3b8-5d33-4f18-ab20-cb67099548fd · inbound

UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models cites this paper.

UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T14:59:27.825270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a091a191-9b00-498e-993d-5b3990d182f8 · inbound

Vertical Federated Unlearning via Backdoor Certification cites this paper.

Vertical Federated Unlearning via Backdoor Certification BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T14:57:41.125271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10c57bfd-bf20-4203-a68f-2c4536245e6c · inbound

Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes cites this paper.

Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T13:37:58.745218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 027f8116-2788-4ce7-a60a-f184434e4a1e · inbound

BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection cites this paper.

BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T13:19:06.556452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9fd9b20-b0c2-48f5-a918-bb65a74f5411 · inbound

Security and Privacy of Digital Twins for Advanced Manufacturing: A Survey cites this paper.

Security and Privacy of Digital Twins for Advanced Manufacturing: A Survey BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T12:40:57.014524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a256e3c9-f541-4e3e-84e1-f1df75a884f8 · inbound

Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers cites this paper.

Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T11:25:10.491483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42fc61bd-6bcd-4450-9b92-d772ca16974d · inbound

Invisible Textual Backdoor Attacks based on Dual-Trigger cites this paper.

Invisible Textual Backdoor Attacks based on Dual-Trigger BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:31:36.468266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce16d307-84f2-464e-81f2-2d1d3a8a81d8 · inbound

Sample Correlation for Fingerprinting Deep Face Recognition cites this paper.

Sample Correlation for Fingerprinting Deep Face Recognition BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T23:18:18.151496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af89330f-3db2-4f71-8e26-068b1b261599 · inbound

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection cites this paper.

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T23:06:54.611449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fb45425-a1ae-4f87-a1f6-c55ee616a413 · inbound

HoneypotNet: Backdoor Attacks Against Model Extraction cites this paper.

HoneypotNet: Backdoor Attacks Against Model Extraction BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:41.745444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d713d456-61ad-4ac1-9022-500f149fb3e9 · inbound

Trojan Detection Through Pattern Recognition for Large Language Models cites this paper.

Trojan Detection Through Pattern Recognition for Large Language Models BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.822619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a680e1c4-530d-4c9e-a710-bd174e830721 · inbound

Provably effective detection of effective data poisoning attacks cites this paper.

Provably effective detection of effective data poisoning attacks BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T17:57:28.739657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e05e2d9b-b863-49eb-90d7-e7dbefaeb7e2 · inbound

Comprehensive Evaluation of Cloaking Backdoor Attacks on Object Detector in Real-World cites this paper.

Comprehensive Evaluation of Cloaking Backdoor Attacks on Object Detector in Real-World BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T14:41:11.200947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39ddd5c0-ccf4-4883-8f10-b4331c3a559f · inbound

TrojanTime: Backdoor Attacks on Time Series Classification cites this paper.

TrojanTime: Backdoor Attacks on Time Series Classification BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T18:17:40.168095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb63086e-b6d2-4c10-9663-e71c5f0864aa · inbound

Detecting Backdoor Samples in Contrastive Language Image Pretraining cites this paper.

Detecting Backdoor Samples in Contrastive Language Image Pretraining BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:27.608322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 961ec327-e2ca-48b1-8fe2-c6a6e4786e9c · inbound

SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning cites this paper.

SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T00:45:23.206674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08e7d47b-336b-463e-a05f-c78ca8909b67 · inbound

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T00:49:59.988216Z

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Observation 8e912f06-c522-4b99-b798-11177322fe87 · inbound

Crypto Miner Attack: GPU Remote Code Execution Attacks cites this paper.

Crypto Miner Attack: GPU Remote Code Execution Attacks BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-08T17:08:55.129946Z

Source-reported events for the cited work

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Observation de4a8d30-208f-4f2f-9eb4-de4f304c7d21 · inbound

Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics cites this paper.

Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-22T22:32:12.900891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ffe572a-f969-4d2d-99ae-807b6ee916ab · inbound

Defending against Backdoor Attacks via Module Switching cites this paper.

Defending against Backdoor Attacks via Module Switching BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-22T20:32:04.757160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7cc06722-b2bf-4fa8-b6c0-dcba6d4febe9 · inbound

A Geometric Approach to Problems in Optimization and Data Science cites this paper.

A Geometric Approach to Problems in Optimization and Data Science BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:20.519150Z

Source-reported events for the cited work

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Observation 68ca3925-f2c6-49cb-b825-5d1c38d7caac · inbound

BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts cites this paper.

BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:51.565413Z

Source-reported events for the cited work

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Observation aafa74be-4ad4-4d13-8f20-a18f283e4a28 · inbound

Erased but Not Forgotten: How Backdoors Compromise Concept Erasure cites this paper.

Erased but Not Forgotten: How Backdoors Compromise Concept Erasure BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T05:25:31.641036Z

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Observation 73df09df-8403-41ec-96a9-75f007cf4fce · inbound

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures cites this paper.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T04:28:00.386296Z

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Observation 71a328c3-3335-419a-afaf-28b734c9cf89 · inbound

Adversarial Attacks in Multimodal Systems: A Practitioner's Survey cites this paper.

Adversarial Attacks in Multimodal Systems: A Practitioner's Survey BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T00:03:02.785416Z

Source-reported events for the cited work

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Observation 905e04a7-3aa0-4767-b5ab-27e8cd475eb6 · inbound

BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models cites this paper.

BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T23:54:42.751300Z

Source-reported events for the cited work

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Observation a9fe1caa-675d-4326-b414-5240e1bfc1d7 · inbound

MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models cites this paper.

MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T23:45:04.232984Z

Source-reported events for the cited work

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Observation 2c34914e-a191-40ba-ae91-f396c54e6f21 · inbound

ChainMarks: Securing DNN Watermark with Cryptographic Chain cites this paper.

ChainMarks: Securing DNN Watermark with Cryptographic Chain BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T23:23:59.329233Z

Source-reported events for the cited work

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Observation e109bd10-abad-4598-83de-193bfa62fbba · inbound

MTL-UE: Learning to Learn Nothing for Multi-Task Learning cites this paper.

MTL-UE: Learning to Learn Nothing for Multi-Task Learning BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T23:13:47.281490Z

Source-reported events for the cited work

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Observation c3ca773d-2dd6-4b21-82f4-50baccf996e0 · inbound

Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy cites this paper.

Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T17:14:59.816290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c9e2d69b-23cb-4930-b813-805ac8d59355 · inbound

Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted cites this paper.

Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:25.585685Z

Source-reported events for the cited work

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Observation cef82ed0-74f3-447d-8030-97180d1302f6 · inbound

MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schr\"odinger Bridges cites this paper.

MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schr\"odinger Bridges BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T22:26:12.401847Z

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Observation 40c0968f-4adc-4f35-bb99-8038fc0dcacd · inbound

One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems cites this paper.

One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T15:21:44.811284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 88454457-3205-48f5-a320-a17b1aaa2d03 · inbound

The Ripple Effect: On Unforeseen Complications of Backdoor Attacks cites this paper.

The Ripple Effect: On Unforeseen Complications of Backdoor Attacks BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:55:43.427891Z

Source-reported events for the cited work

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Observation 8f1f4821-c510-45d8-82de-8a205770b019 · inbound

Topology-Aware Knowledge Propagation in Decentralized Learning cites this paper.

Topology-Aware Knowledge Propagation in Decentralized Learning BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:12.435714Z

Source-reported events for the cited work

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Observation 0c12bd55-f91a-4f47-8e07-df0e95e65c6a · inbound

FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients cites this paper.

FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:59.179416Z

Source-reported events for the cited work

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Observation 9c4378d3-587a-4431-8a2f-40e99566ebb6 · inbound

Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? cites this paper.

Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:31:40.083693Z

Source-reported events for the cited work

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Observation 3a104a68-9a0a-42f2-9894-b994ad61e328 · inbound

SifterNet: A Generalized and Model-Agnostic Trigger Purification Approach cites this paper.

SifterNet: A Generalized and Model-Agnostic Trigger Purification Approach BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:52.922253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baa40e47-186a-497e-a030-3465402edfe5 · inbound

BadSR: Stealthy Label Backdoor Attacks on Image Super-Resolution cites this paper.

BadSR: Stealthy Label Backdoor Attacks on Image Super-Resolution BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:21.571248Z

Source-reported events for the cited work

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Observation 87572535-3632-4822-951a-c71eb7bf03d5 · inbound

Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models cites this paper.

Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:37.111743Z

Source-reported events for the cited work

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Observation e76f7c75-3919-47e4-8cdd-687b8ce4b8d2 · inbound

Covert Attacks on Machine Learning Training in Passively Secure MPC cites this paper.

Covert Attacks on Machine Learning Training in Passively Secure MPC BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.771537Z

Source-reported events for the cited work

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Observation ebb433b1-9ce8-4b8b-9d65-76e9f3449a2f · inbound

Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning cites this paper.

Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:10.384895Z

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Observation baee8443-489b-4071-b24d-71cbf0179753 · inbound

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study cites this paper.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:58.086165Z

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Observation 05728600-4119-4691-8da1-2282e00eddad · inbound

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies cites this paper.

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:23.637608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60284a90-ff1a-485d-a879-a944b35ab9cb · inbound

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models cites this paper.

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:14.631580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e7f2bf9-a194-45ce-b52f-d7dd1e842b85 · inbound

Mind the Gap: A Practical Attack on GGUF Quantization cites this paper.

Mind the Gap: A Practical Attack on GGUF Quantization BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:13.359766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ac792c8-74f8-4781-a2a5-c1bb955fcf16 · inbound

A Systematic Review of Poisoning Attacks Against Large Language Models cites this paper.

A Systematic Review of Poisoning Attacks Against Large Language Models BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:32.069364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54ab52f4-e511-484c-b98f-671b9e56d912 · inbound

Robust In-Context Reinforcement Learning Under Reward Poisoning Attacks cites this paper.

Robust In-Context Reinforcement Learning Under Reward Poisoning Attacks BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:47.161755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef2d59d7-44e9-4e02-bdb9-f06868991415 · inbound

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation cites this paper.

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:56.049170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81547a03-64e9-425d-9c3f-f77d754e5755 · inbound

Circumventing Backdoor Space via Weight Symmetry cites this paper.

Circumventing Backdoor Space via Weight Symmetry BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:13.166968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbb9fb27-09b9-430d-a1b3-7d721c7a8dca · inbound

TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts cites this paper.

TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:36:57.943727Z

Source-reported events for the cited work

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Observation ee5132e4-972c-459b-bf2d-4196f474c1c4 · inbound

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks cites this paper.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:19.509666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36227634-8e6b-4d2b-a0c3-fa2c80c00499 · inbound

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning cites this paper.

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:58:07.196131Z

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Unavailable: canonical work link unavailable.

Observation 7de5d2e9-04da-48cf-b73d-71735fc2cd46 · inbound

Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models cites this paper.

Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:02.417371Z

Source-reported events for the cited work

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Observation a774c37c-0429-4507-82e2-03554ca3b867 · inbound

Amplifying Machine Learning Attacks Through Strategic Compositions cites this paper.

Amplifying Machine Learning Attacks Through Strategic Compositions BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T18:45:44.479739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 223061c2-0bde-49ba-ba08-e86c26b4b787 · inbound

Identifying Physically Realizable Triggers for Backdoored Face Recognition Networks cites this paper.

Identifying Physically Realizable Triggers for Backdoored Face Recognition Networks BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T18:36:37.568708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 735194d4-bf30-42c1-b3e5-fa404631198c · inbound

Kill Two Birds with One Stone! Trajectory enabled Unified Online Detection of Adversarial Examples and Backdoor Attacks cites this paper.

Kill Two Birds with One Stone! Trajectory enabled Unified Online Detection of Adversarial Examples and Backdoor Attacks BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:06:35.103748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aa7de69-c812-4c4f-b6cb-8b14116f11b9 · inbound

KAIROS: Scalable Model-Agnostic Data Valuation cites this paper.

KAIROS: Scalable Model-Agnostic Data Valuation BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:10.113429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40b5107f-703f-4c42-bb9a-2c8ec26950c4 · inbound

BURN: Backdoor Unlearning via Adversarial Boundary Analysis cites this paper.

BURN: Backdoor Unlearning via Adversarial Boundary Analysis BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:49.039603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38e523e9-d973-4f50-a2f8-ee9c222571d5 · inbound

MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing cites this paper.

MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:25:36.867512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e21a024e-557f-40dd-88c2-6bc2b5c4c5f8 · inbound

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense cites this paper.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:16.785281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 510a3aa0-e247-4790-92ff-a4394a6b511a · inbound

Hot-Swap MarkBoard: An Efficient Black-box Watermarking Approach for Large-scale Model Distribution cites this paper.

Hot-Swap MarkBoard: An Efficient Black-box Watermarking Approach for Large-scale Model Distribution BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T17:50:18.642196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.