Paper Citation Record · LEDGER

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning

As of 11 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2407.09658.

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

pith.paper-citation-record.v1
2407.09658 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T23:09:32.656257Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T18:24:37.359481Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T18:24:59.054517Z

Reference resolution

52 of 52 outbound references displayed

verified exact13
verified fuzzy39
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54f04248-05ad-4eb4-8049-e33f931d8674 · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-23T23:13:37.055341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 902a5d50-08f3-45cb-83a2-90a2ab99c37f · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Communication-efficient learning of deep networks from decentralized data

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.417946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 333ac724-7d05-4c00-8189-ca7b1ff88e0a · outbound

This paper cites Advances and Open Problems in Federated Learning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Advances and Open Problems in Federated Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:13:37.066433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 092ce321-7252-40cf-bc72-9d8eedbfaa98 · outbound

This paper cites Federated Learning for Mobile Keyboard Prediction.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Federated Learning for Mobile Keyboard Prediction

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-23T23:13:37.061649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9f5a5994-08a6-4729-b2a5-3679a4aba8e8 · outbound

This paper cites Adaptive federated learning in resource constrained edge computing systems.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Adaptive federated learning in resource constrained edge computing systems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.406235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee233ea3-caaf-41a4-b67d-f87488bb7d89 · outbound

This paper cites Distributed statistical machine learning in adversarial settings: Byzantine gradient descent.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Distributed statistical machine learning in adversarial settings: Byzantine gradient descent

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.402815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4de01068-fc31-4da0-a536-47e567b3508f · outbound

This paper cites Byzantine-resilient secure fed- erated learning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Byzantine-resilient secure fed- erated learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.413667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0d75694e-ed7b-4e4d-85c2-0e8863f50302 · outbound

This paper cites The hidden vulnerability of distributed learning in byzantium.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning The hidden vulnerability of distributed learning in byzantium

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.397357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 07e00bfb-5967-4d95-9ffc-0a2928d8da18 · outbound

This paper cites Local model poisoning attacks to byzantine-robust federated learning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Local model poisoning attacks to byzantine-robust federated learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.409811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff8c891a-c721-412d-bf14-775f7583ec26 · outbound

This paper cites Analyzing feder- ated learning through an adversarial lens.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Analyzing feder- ated learning through an adversarial lens

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.421853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cea55cd9-9d5d-4b40-a545-af0db5908f4b · outbound

This paper cites Differential privacy has disparate impact on model accuracy.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Differential privacy has disparate impact on model accuracy

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.453976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f28014f0-e86b-4ef2-b7ab-dae7a233d1a0 · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Machine learning with adversaries: Byzantine tolerant gradient descent

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.446727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 83bf5ad1-4e06-40c2-a3dc-82063330dc9c · outbound

This paper cites Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:13:37.031130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21073a87-2abd-47ab-b028-0a1f2a3f8c97 · outbound

This paper cites The Hidden Vulnerability of Distributed Learning in Byzantium.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning The Hidden Vulnerability of Distributed Learning in Byzantium

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-23T23:13:37.036293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bdfb45d0-5ddc-415d-9e77-498672721e73 · outbound

This paper cites Dba: Distributed backdoor attacks against federated learning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Dba: Distributed backdoor attacks against federated learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.450290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3ae9a497-7677-46ca-9838-8961add63197 · outbound

This paper cites A highly efficient, confidential, and continuous federated learning backdoor attack strategy.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning A highly efficient, confidential, and continuous federated learning backdoor attack strategy

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.458579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6494f685-e643-4652-a0fc-c1ab4533877d · outbound

This paper cites Attack of the tails: Yes, you really can backdoor federated learning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Attack of the tails: Yes, you really can backdoor federated learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.463123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c5bb9f80-b1be-41fb-8ab0-97b0420ac622 · outbound

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

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Auror: Defending against poisoning attacks in collaborative deep learning systems

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.470188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9359cd29-260d-4d89-8c71-5966f040d591 · outbound

This paper cites Mitigating Sybils in Federated Learning Poisoning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Mitigating Sybils in Federated Learning Poisoning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:13:37.015592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd39de33-7b71-448b-9cd6-fa4b644d3007 · outbound

This paper cites Learning to Detect Malicious Clients for Robust Federated Learning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Learning to Detect Malicious Clients for Robust Federated Learning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:13:37.026029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c9ddf844-1b8a-4c45-b601-d401249dcf71 · outbound

This paper cites Pdgan: A novel poisoning defense method in federated learning using generative adversarial network.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Pdgan: A novel poisoning defense method in federated learning using generative adversarial network

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.493291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cca6dce1-0b1b-4977-a842-69a3cb458016 · outbound

This paper cites Deepsight: Mitigating backdoor attacks in federated learning through deep model inspection.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Deepsight: Mitigating backdoor attacks in federated learning through deep model inspection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.425753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2df1cc12-378c-4ed8-9626-a6230ca79174 · outbound

This paper cites Contra: Defending against poisoning at- tacks in federated learning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Contra: Defending against poisoning at- tacks in federated learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.513373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f08c9096-3f4b-49f5-be83-9dc9bafcb3d2 · outbound

This paper cites Federated learning with hierarchical clustering of local updates to improve training on non-iid data.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Federated learning with hierarchical clustering of local updates to improve training on non-iid data

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.545247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32f55dc2-effc-4bc4-8f89-445189772e49 · outbound

This paper cites Robust Federated Learning in a Heterogeneous Environment.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Robust Federated Learning in a Heterogeneous Environment

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:13:37.009990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 56644dfd-62e0-44a3-9b7a-dabc997e03b9 · outbound

This paper cites Shielding collaborative learning: Mitigating poisoning attacks through client-side detection.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Shielding collaborative learning: Mitigating poisoning attacks through client-side detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.474421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1253d72-4f64-41c1-938a-49bec5d7aea5 · outbound

This paper cites Crowdguard: Federated backdoor detection in federated learning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Crowdguard: Federated backdoor detection in federated learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.478145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b0ac8ce0-d588-4d8e-b7e2-6e2fcdedb4c9 · outbound

This paper cites An extended version of the k-means method for over- lapping clustering.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning An extended version of the k-means method for over- lapping clustering

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.481747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a61b3b3e-103f-4bdb-be23-2203f6abbd10 · outbound

This paper cites Motif clustering and overlapping clustering for social network analysis.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Motif clustering and overlapping clustering for social network analysis

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.485397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f11596b-711d-4f3c-b447-29bace80e8f4 · outbound

This paper cites Model-based overlapping clustering.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Model-based overlapping clustering

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.548868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce0dc437-d378-44f8-95a3-bea53df3a746 · outbound

This paper cites How to backdoor federated learning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning How to backdoor federated learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.466683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 83564b46-3a3d-4eaf-886b-abb11ce3a6c3 · outbound

This paper cites Can You Really Backdoor Federated Learning?.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Can You Really Backdoor Federated Learning?

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:13:37.041921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 46ec461b-da99-4a70-bf3a-06ac4dd2f9da · outbound

This paper cites Provably secure federated learning against malicious clients.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Provably secure federated learning against malicious clients

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.552580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6855fe4d-7c1b-4760-b18e-908d216afcbf · outbound

This paper cites Flare: defending federated learning against model poisoning attacks via latent 14 space representations.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Flare: defending federated learning against model poisoning attacks via latent 14 space representations

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.537570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b7aab45f-6383-4fc6-a929-189983e26f30 · outbound

This paper cites Crfl: Certifiably robust fed- erated learning against backdoor attacks.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Crfl: Certifiably robust fed- erated learning against backdoor attacks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.526269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d9a507e-f645-4e39-901b-56c78032e9a9 · outbound

This paper cites {FLAME}: Taming backdoors in federated learning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning {FLAME}: Taming backdoors in federated learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.533815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 65964811-4543-468e-bfc4-846d09a0aa61 · outbound

This paper cites The algorithmic foundations of differential privacy.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning The algorithmic foundations of differential privacy

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.530065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58559d33-0e46-4819-a728-a3794ed947b2 · outbound

This paper cites Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:13:37.003995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70c6730a-a4f3-4fca-b19f-7de7c23264a6 · outbound

This paper cites Manipulating the byzantine: Op- timizing model poisoning attacks and defenses for federated learning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Manipulating the byzantine: Op- timizing model poisoning attacks and defenses for federated learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.541365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 05600c3e-1108-411a-8516-723a27899ab9 · outbound

This paper cites Non-convex optimization for machine learning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Non-convex optimization for machine learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.504874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

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 2026-08-10T06:31:04.303077+00:00.

Observation 36d0a960-ccdb-4052-8e03-1f18a9d50617 · outbound

This paper cites Fltrust: Byzantine-robust federated learning via trust bootstrapping.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Fltrust: Byzantine-robust federated learning via trust bootstrapping

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.509166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0294c9a7-a1c7-4334-b529-23d8feb5a11e · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-23T23:13:37.047145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation af7819fa-7e70-405f-8343-18b51ee46d45 · outbound

This paper cites Learning multiple layers of features from tiny images.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Learning multiple layers of features from tiny images

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.522285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 608551d6-26ea-4fb5-b7a1-5612e177ed67 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning The mnist database of handwritten digit images for machine learning research

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.497253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a8221b3-ec55-4bbd-886a-a96191d8adf6 · outbound

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

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Very deep convolutional networks for large-scale image recognition

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.500989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d6001ef8-325c-4234-b1e3-6dc938a8077e · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Imagenet classification with deep convolutional neural networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.429947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 987c4bb2-87c0-4c45-8f91-9c02ce569959 · outbound

This paper cites Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:13:37.020962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 218ddaa4-2f0c-41e9-96ce-58be3c63542d · outbound

This paper cites Baffle: Backdoor detection via feedback-based federated learning.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Baffle: Backdoor detection via feedback-based federated learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.434236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aa482b4a-a312-436e-9ca2-d2094d3f5fe1 · outbound

This paper cites Ms-ptp: Protecting network timing from byzantine attacks.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Ms-ptp: Protecting network timing from byzantine attacks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.438343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 57d2526d-6e2e-4bad-a893-7f7ef5689e11 · outbound

This paper cites Can you really backdoor federated learning?.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Can you really backdoor federated learning?

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.443028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd6805c6-483e-4e90-bfe7-0f96b70b1ea4 · outbound

This paper cites Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:18:37.489348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation c77bffb6-7a6b-4a5a-8f16-e330a9a57e65 · inbound

Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning cites this paper.

Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning

Reference 23

Resolution: malformed identifier; local_arxiv, observed 2026-05-20T07:38:09.125711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b5d00cbc-137e-4ef6-b5e2-2c5bdd9f5bc5 · inbound

Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning cites this paper.

Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning

Reference 23

Resolution: malformed identifier; local_arxiv, observed 2026-06-30T18:24:59.056142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.