Paper Citation Record · LEDGER

Defeating Misclassification Attacks Against Transfer Learning

As of 23 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:1908.11230.

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

pith.paper-citation-record.v1
1908.11230 v4

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:26:14.830268Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy25
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07b05407-f6b1-4492-bca0-d8284e83b152 · outbound

This paper cites Robustness to adversarial examples through an ensemble of specialists.

Defeating Misclassification Attacks Against Transfer Learning Robustness to adversarial examples through an ensemble of specialists

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.208878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cccb1b9f-64fb-4102-b4f1-c337049de30e · outbound

This paper cites Bunescu, and Gordon Stewart.

Defeating Misclassification Attacks Against Transfer Learning Bunescu, and Gordon Stewart

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.198935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation faeb3a15-e948-4588-9f55-288b1b868ff3 · outbound

This paper cites Bendale and T.

Defeating Misclassification Attacks Against Transfer Learning Bendale and T

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.188968Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 11678402-0b05-4c3e-96f7-51b016164990 · outbound

This paper cites On Evaluating Adversarial Robustness.

Defeating Misclassification Attacks Against Transfer Learning On Evaluating Adversarial Robustness

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T10:26:14.723078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b7cb03f-37e1-4783-9542-d28a24cfbc5b · outbound

This paper cites an unresolved cited work.

Defeating Misclassification Attacks Against Transfer Learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:26:15.180287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 38361752-2541-4ba3-b1f4-307853fe66a2 · outbound

This paper cites an unresolved cited work.

Defeating Misclassification Attacks Against Transfer Learning Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:26:15.170989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fe2757ac-d11b-4040-8892-deff03db9ef6 · outbound

This paper cites Detecting Adversarial Samples from Artifacts.

Defeating Misclassification Attacks Against Transfer Learning Detecting Adversarial Samples from Artifacts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T10:26:14.736649Z

Source-reported events for the cited work

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Observation ac2ce49c-6c02-4716-b233-314b29205a49 · outbound

This paper cites Making machine learning robust against adversarial inputs.

Defeating Misclassification Attacks Against Transfer Learning Making machine learning robust against adversarial inputs

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.160963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1d9f646f-efa9-40ce-884d-065a5e69e7de · outbound

This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.

Defeating Misclassification Attacks Against Transfer Learning Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.150275Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4fbc5715-10b3-419d-9102-730695d23812 · outbound

This paper cites Google Cloud AutoML.

Defeating Misclassification Attacks Against Transfer Learning Google Cloud AutoML

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.140217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0510f117-96b7-4dfe-9301-2fefc1f62f2e · outbound

This paper cites an unresolved cited work.

Defeating Misclassification Attacks Against Transfer Learning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:26:15.130272Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 87ff866e-0732-4971-94ea-f40e677e586e · outbound

This paper cites Ad- versarial example defense: Ensembles of weak defenses are not strong.

Defeating Misclassification Attacks Against Transfer Learning Ad- versarial example defense: Ensembles of weak defenses are not strong

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.120130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4b91894-ac18-43ea-b3d4-ff6424f95efe · outbound

This paper cites Model-reuse attacks on deep learning systems.

Defeating Misclassification Attacks Against Transfer Learning Model-reuse attacks on deep learning systems

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.110940Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9fd73ae9-b591-4966-b795-c3ea64d74ad8 · outbound

This paper cites an unresolved cited work.

Defeating Misclassification Attacks Against Transfer Learning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:26:15.101384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a5e64773-0f07-47b2-8bfb-664d9fa3b1ed · outbound

This paper cites Kumar, A.

Defeating Misclassification Attacks Against Transfer Learning Kumar, A

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.091421Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fb389ef0-2d93-4a6e-a0e3-d3cc2971d7cd · outbound

This paper cites Goodfellow, and Samy Bengio.

Defeating Misclassification Attacks Against Transfer Learning Goodfellow, and Samy Bengio

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.081157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 63ae18e9-a29f-449c-b63f-d89de136e389 · outbound

This paper cites Prun- ing filters for efficient convnets.

Defeating Misclassification Attacks Against Transfer Learning Prun- ing filters for efficient convnets

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.070414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff065d1e-0e2f-4f43-a30e-86006c5297df · outbound

This paper cites Fine-pruning: Defending against backdooring attacks on deep neural networks.

Defeating Misclassification Attacks Against Transfer Learning Fine-pruning: Defending against backdooring attacks on deep neural networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.060342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 885a4923-fe2d-48f6-a62f-8674a3b83e61 · outbound

This paper cites Deep neural network ensembles against deception: Ensemble diversity, accuracy and robustness.

Defeating Misclassification Attacks Against Transfer Learning Deep neural network ensembles against deception: Ensemble diversity, accuracy and robustness

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.050156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 575557b9-5f48-4de1-96c7-1eb1d38e7310 · outbound

This paper cites Deep- fool: A simple and accurate method to fool deep neural networks.

Defeating Misclassification Attacks Against Transfer Learning Deep- fool: A simple and accurate method to fool deep neural networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.040703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 484c2f2b-ba3c-47f7-b974-6410b168f666 · outbound

This paper cites A survey on transfer learning.IEEE Transactions on Knowledge and Data Engineering (TKDE) , 22(10):1345–1359, 2010.

Defeating Misclassification Attacks Against Transfer Learning A survey on transfer learning.IEEE Transactions on Knowledge and Data Engineering (TKDE) , 22(10):1345–1359, 2010

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.032023Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6932b6b6-b7ca-4ed9-ad85-16728ad8d995 · outbound

This paper cites an unresolved cited work.

Defeating Misclassification Attacks Against Transfer Learning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:26:15.022356Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation afa87ba0-2ad8-46e1-8480-e870f592af52 · outbound

This paper cites Pinto, Z.

Defeating Misclassification Attacks Against Transfer Learning Pinto, Z

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.011969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a9deab1b-59cf-47ca-b6d4-b46a0fe67e8f · outbound

This paper cites Polyak and L.

Defeating Misclassification Attacks Against Transfer Learning Polyak and L

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:15.002403Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db7e8f55-a685-4fbc-bc8c-9015cff9b36a · outbound

This paper cites an unresolved cited work.

Defeating Misclassification Attacks Against Transfer Learning Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:26:14.992486Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 155fb437-f3c8-4fdd-abcc-891fd2037764 · outbound

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

Defeating Misclassification Attacks Against Transfer Learning Very deep convolutional networks for large-scale image recognition

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:14.982210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f8d631ff-8fd0-497c-9f65-930e033441fb · outbound

This paper cites Stallkamp, M.

Defeating Misclassification Attacks Against Transfer Learning Stallkamp, M

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:14.972799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 34df8394-da6e-4770-8047-cac42cc4109b · outbound

This paper cites Stallkamp, M.

Defeating Misclassification Attacks Against Transfer Learning Stallkamp, M

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:14.963899Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 245bc302-2f4d-414f-80c0-f5b0657e5275 · outbound

This paper cites One pixel attack for fooling deep neural networks.

Defeating Misclassification Attacks Against Transfer Learning One pixel attack for fooling deep neural networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:14.954036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 36908677-553b-4215-8317-d5d455f4a8ae · outbound

This paper cites Rethinking the inception architecture for computer vision.2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages 2818–2826, 2016.

Defeating Misclassification Attacks Against Transfer Learning Rethinking the inception architecture for computer vision.2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages 2818–2826, 2016

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:14.943251Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a41084e7-c416-4bea-b9af-50037093c864 · outbound

This paper cites Goodfellow, Dan Boneh, and Patrick D.

Defeating Misclassification Attacks Against Transfer Learning Goodfellow, Dan Boneh, and Patrick D

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:14.931460Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9e01ef43-2b63-4a98-9816-f168887e8d64 · outbound

This paper cites Neural cleanse: Identifying and mitigating backdoor attacks in neural networks.

Defeating Misclassification Attacks Against Transfer Learning Neural cleanse: Identifying and mitigating backdoor attacks in neural networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:14.921128Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 90774ae4-d264-4da5-aa66-d934453325c9 · outbound

This paper cites an unresolved cited work.

Defeating Misclassification Attacks Against Transfer Learning Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:26:14.910876Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 00d475e3-8478-48c9-90b4-e78373432d87 · outbound

This paper cites an unresolved cited work.

Defeating Misclassification Attacks Against Transfer Learning Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:26:14.900984Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80760096-e946-4f8c-bd0c-812ef9c745e5 · outbound

This paper cites ADADELTA: An Adaptive Learning Rate Method.

Defeating Misclassification Attacks Against Transfer Learning ADADELTA: An Adaptive Learning Rate Method

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-14T10:26:14.826111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c45a328-7b77-4bcc-96db-60bc9655749d · outbound

This paper cites To compress or not to compress: Understanding the interactions between adversarial attacks and neural network compression.

Defeating Misclassification Attacks Against Transfer Learning To compress or not to compress: Understanding the interactions between adversarial attacks and neural network compression

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:14.890395Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.