Towards Interpretable Adversarial Examples via Sparse Adversarial Attack | Paper Citation Record

Observation b5cd75af-b04e-48bd-8685-2f57b8a0ef1e · outbound

This paper cites Enabling scalable and adaptive machine learning training via serverless computing on public cloud.Performance Evaluation, 167:102451, 2025.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Enabling scalable and adaptive machine learning training via serverless computing on public cloud.Performance Evaluation, 167:102451, 2025

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:19.149400Z

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Observation 71ce94a0-02fe-48e0-a6d5-22e616f9d626 · outbound

This paper cites an unresolved cited work.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:51:19.140198Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4bab0a2-7961-4a80-90ee-2fe99e5ae4bf · outbound

This paper cites Jordan, and Martin J.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Jordan, and Martin J

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:19.131172Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4393c116-6b3d-4be5-8327-a0c38bb24e21 · outbound

This paper cites More data can expand the general- ization gap between adversarially robust and standard models.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack More data can expand the general- ization gap between adversarially robust and standard models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:19.122032Z

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Observation 6b99ecba-0d36-4875-9c58-5bb6bd589d59 · outbound

This paper cites Bonemet: An open large-scale multi-modal murine dataset for breast cancer bone metastasis diagnosis and prognosis.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Bonemet: An open large-scale multi-modal murine dataset for breast cancer bone metastasis diagnosis and prognosis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:19.113523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cae70bab-402e-4c5a-83b3-65ce0bc59962 · outbound

This paper cites Singh, Nicolas Flammarion, and Matthias Hein.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Singh, Nicolas Flammarion, and Matthias Hein

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:19.104489Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bc2411f1-1115-47d8-9b60-36c045eb5a8c · outbound

This paper cites Sparse and imperceivable adversarial attacks.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Sparse and imperceivable adversarial attacks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:19.094872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80faa8b0-18c1-432a-a9cd-3873d1fa0d7f · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understanding.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack BERT: pre-training of deep bidirectional transformers for language understanding

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:19.085560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f953af56-ac26-4414-80cd-2f685f41c62f · outbound

This paper cites Greedyfool: Distortion-aware sparse adversarial attack.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Greedyfool: Distortion-aware sparse adversarial attack

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:19.076466Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 683b1e82-b55c-4f64-9486-61d4e4d9f7cd · outbound

This paper cites Boosting adversarial attacks with momentum.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Boosting adversarial attacks with momentum

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:19.066115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d23aa0c4-12ae-4aa4-8a19-1cde21b68229 · outbound

This paper cites Evading defenses to transferable ad- versarial examples by translation-invariant attacks.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Evading defenses to transferable ad- versarial examples by translation-invariant attacks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:19.057111Z

Source-reported events for the cited work

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Observation ff0dd184-3443-469a-a286-701f96b0bedf · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack An image is worth 16x16 words: Transformers for image recognition at scale

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:18.422514Z

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Unavailable: canonical work link unavailable.

Observation 8f7a2870-3fff-4b63-a59c-0076bbc3ebfb · outbound

This paper cites Robust physical-world attacks on deep learning visual classification.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Robust physical-world attacks on deep learning visual classification

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:18.425367Z

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Observation 6c9194f6-28fd-4cf1-8d5e-cc1ac3a10f74 · outbound

This paper cites Sparse adversarial attack via perturbation factorization.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Sparse adversarial attack via perturbation factorization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:19.037897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3aa44b84-e2cb-4c02-b310-dcc0e18e45fb · outbound

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

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:19.028228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ca8eb657-9593-4250-aa9d-e6ce647d6955 · outbound

This paper cites Deep residual learning for image recognition.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Deep residual learning for image recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:18.434130Z

Source-reported events for the cited work

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Observation f4872219-61f1-4a7e-aaa2-3ec278792038 · outbound

This paper cites Interpretable minority synthesis for imbalanced classification.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Interpretable minority synthesis for imbalanced classification

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:19.012773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55335149-95ef-4905-9289-afcb1569b679 · outbound

This paper cites Highly accurate protein structure prediction with alphafold.Nature, 596(7873):583–589, 2021.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Highly accurate protein structure prediction with alphafold.Nature, 596(7873):583–589, 2021

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:18.439995Z

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Observation e4f72c8d-d659-4379-902b-16780f6173da · outbound

This paper cites Physgan: Generating physical-world- resilient adversarial examples for autonomous driving.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Physgan: Generating physical-world- resilient adversarial examples for autonomous driving

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.996780Z

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Observation c80e2ec4-749f-4c54-9964-5dde8e654156 · outbound

This paper cites Learning multiple layers of features from tiny images.Technical Report, University of Toronto, 2009.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Learning multiple layers of features from tiny images.Technical Report, University of Toronto, 2009

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.987295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8d6aac79-feaf-42af-b4df-95b9265b0791 · outbound

This paper cites an unresolved cited work.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:51:18.978355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a2148e50-5464-4da4-be45-b6de4f9612d8 · outbound

This paper cites Goodfellow, and Samy Bengio.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Goodfellow, and Samy Bengio

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.969056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d6f267b-6dd4-40eb-9888-0f1a26ab891c · outbound

This paper cites Goodfellow, and Samy Bengio.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Goodfellow, and Samy Bengio

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.960070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b51b4425-f99c-4fda-b63e-f1089f2770e9 · outbound

This paper cites Inan, Sahar Abdelnabi, Janardhan Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Inan, Sahar Abdelnabi, Janardhan Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:18.457981Z

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Observation def05c6b-0fad-4e42-9ebc-72b1849c1ad5 · outbound

This paper cites MNIST handwritten digit database.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack MNIST handwritten digit database

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:18.461129Z

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Observation 66e78d2b-9a1b-42b4-a047-12814b3ac90d · outbound

This paper cites Mmst-vit: Climate change-aware crop yield prediction via multi-modal spatial-temporal vi- sion transformer.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Mmst-vit: Climate change-aware crop yield prediction via multi-modal spatial-temporal vi- sion transformer

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.946096Z

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Observation 7b3b80f8-ea60-4d83-9ef5-bd8845eac291 · outbound

This paper cites Towards robust vision trans- former via masked adaptive ensemble.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Towards robust vision trans- former via masked adaptive ensemble

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.937471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7dbb9f2a-62eb-47e7-9556-8a75856d8bff · outbound

This paper cites Comprehensive transformer-based model architecture for real-world storm predic- tion.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Comprehensive transformer-based model architecture for real-world storm predic- tion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.928662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ebbd937c-55f1-4800-9289-af648c1091d8 · outbound

This paper cites Delving into transferable adversarial examples and black-box attacks.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Delving into transferable adversarial examples and black-box attacks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.919905Z

Source-reported events for the cited work

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Observation 610aef55-8aab-4c70-a759-c7c4dc35ab39 · outbound

This paper cites Learning sparse neural networks through l_0 regularization.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Learning sparse neural networks through l_0 regularization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.911162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62dae4f9-9d57-45be-86ca-1e474e31b076 · outbound

This paper cites Malletrain: Deep neural networks training on unfillable supercomputer nodes.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Malletrain: Deep neural networks training on unfillable supercomputer nodes

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.902182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cdf4b26f-b993-41f8-aa7b-3e29e9e44f90 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Towards deep learning models resistant to adversarial attacks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.893640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c286039-4c2d-42c6-8eab-3dd359d79968 · outbound

This paper cites The curious case of adversarially robust models: More data can help, double descend, or hurt generalization.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack The curious case of adversarially robust models: More data can help, double descend, or hurt generalization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.884181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 33ad46c8-b4d2-41ff-b049-3abd55f87103 · outbound

This paper cites Transferable structural sparse adver- sarial attack via exact group sparsity training.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Transferable structural sparse adver- sarial attack via exact group sparsity training

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.875250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4687ad77-1611-4bb5-8df8-a695f90f3ded · outbound

This paper cites Sparsefool: A few pixels make a big difference.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Sparsefool: A few pixels make a big difference

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.866400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 90c90abf-881c-4ae8-a62e-726845cf08f6 · outbound

This paper cites Deepfool: A sim- ple and accurate method to fool deep neural networks.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Deepfool: A sim- ple and accurate method to fool deep neural networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.856607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4992f704-b93f-4f77-a409-cdccf14412db · outbound

This paper cites McDaniel, Somesh Jha, Matt Fredrikson, Z.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack McDaniel, Somesh Jha, Matt Fredrikson, Z

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.846791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50388849-5e92-4caa-91b6-9751f19e0162 · outbound

This paper cites Fast minimum-norm adver- sarial attacks through adaptive norm constraints.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Fast minimum-norm adver- sarial attacks through adaptive norm constraints

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.837106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 58554d76-0d86-4ee9-8d40-2b0a42ed318f · outbound

This paper cites Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.Proceedings of the National Academy of Sciences, 118(15), 2021.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.Proceedings of the National Academy of Sciences, 118(15), 2021

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.827621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d115334-e8ee-4a50-8429-2e4203ce99ce · outbound

This paper cites Berg, and 18 F.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Berg, and 18 F

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.818661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b90b867e-e0da-412b-9343-a1c272f3883d · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.810032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4f560ae-0ce7-4fd7-9600-44b2449ea1ec · outbound

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

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Very deep convolutional networks for large-scale image recognition

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:18.512974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 240cd9c6-8a15-40a7-9926-1bd44010c8f2 · outbound

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

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack One pixel attack for fooling deep neural networks.IEEE Trans

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.795376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd58071b-8214-46d2-a2b8-9d20da43437b · outbound

This paper cites Hybrid batch attacks: Finding black- box adversarial examples with limited queries.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Hybrid batch attacks: Finding black- box adversarial examples with limited queries

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.785076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be38ed92-673a-4a13-b754-ad4d483b441b · outbound

This paper cites Goodfellow, and Rob Fergus.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Goodfellow, and Rob Fergus

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.775689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec1e138f-7382-4c90-ad22-8e2799bdd5c6 · outbound

This paper cites Fooling automated surveillance cam- eras: Adversarial patches to attack person detection.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Fooling automated surveillance cam- eras: Adversarial patches to attack person detection

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.766653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 062874f2-9f8a-4e3b-95b7-f3e9382cb168 · outbound

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

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Goodfellow, Dan Boneh, and Patrick D

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.757930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4bb260f3-07d6-464b-af5e-81365d54e45a · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.748915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b9f6031-a1cf-4a34-b0df-52f9e19939fd · outbound

This paper cites Brusleattack: a query-efficient score- based black-box sparse adversarial attack.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Brusleattack: a query-efficient score- based black-box sparse adversarial attack

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.740442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e66e6a8-28d0-43f1-8d1c-0efef29fcad3 · outbound

This paper cites Heaviside step function, 2024.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Heaviside step function, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.730674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 064733fc-ef1d-4902-b771-efcc237e4c6f · outbound

This paper cites Black-box sparse adversarial attack via multi-objective optimisation.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Black-box sparse adversarial attack via multi-objective optimisation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.721353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee31637c-845a-4d02-8e09-b01f90fa2711 · outbound

This paper cites Zico Kolter.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Zico Kolter

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.712083Z

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Observation 2f066b29-584f-4bc7-8233-ee8de9b629d8 · outbound

This paper cites an unresolved cited work.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:51:18.702788Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66b90f9d-eca4-466d-a088-e5663ef749e8 · outbound

This paper cites Structured adversarial attack: Towards general implementation and better interpretability.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Structured adversarial attack: Towards general implementation and better interpretability

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.693751Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation de8f21a9-aae3-4772-bf68-bb51b49f5c73 · outbound

This paper cites Fedcust: Offloading hyperparameter customization for federated learning.Perfor- mance Evaluation, 167:102450, 2025.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Fedcust: Offloading hyperparameter customization for federated learning.Perfor- mance Evaluation, 167:102450, 2025

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.684700Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5041940-97a4-41c6-8175-da84141485c3 · outbound

This paper cites Zeiler and Rob Fergus.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Zeiler and Rob Fergus

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.675206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 28af136c-e4a1-492c-9e3c-5e87555728a7 · outbound

This paper cites pelican" ∥δ∥0 = 248 (b) GreedyFool. “goldfish.

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack pelican" ∥δ∥0 = 248 (b) GreedyFool. “goldfish

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:18.665858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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