Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature | Paper Citation Record

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature , " * write output.state after.block = add.period write newline

Reference 1

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature write newline

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This paper cites GPT-4 Technical Report.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature GPT-4 Technical Report

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

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This paper cites Adversarial Patch.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Adversarial Patch

Reference 6

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 8

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This paper cites G.; Xue, M.; Ma, S.; Abbasnejad, E.; and Ranasinghe, D.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature G.; Xue, M.; Ma, S.; Abbasnejad, E.; and Ranasinghe, D

Reference 9

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This paper cites K.; Chen, Y.; Ye, S.; He, Y.; and Yang, Y.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature K.; Chen, Y.; Ye, S.; He, Y.; and Yang, Y

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:12.227666Z

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 11

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This paper cites Hijacking Attacks against Neural Networks by Analyzing Training Data.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Hijacking Attacks against Neural Networks by Analyzing Training Data

Reference 12

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This paper cites J.; Shlens, J.; and Szegedy, C.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature J.; Shlens, J.; and Szegedy, C

Reference 13

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 14

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 15

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 16

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This paper cites M.; and Bailey, J.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature M.; and Bailey, J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:12.133639Z

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This paper cites DenseNet: Implementing Efficient ConvNet Descriptor Pyramids.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature DenseNet: Implementing Efficient ConvNet Descriptor Pyramids

Reference 18

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 19

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 20

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 21

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 22

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This paper cites DPatch: An Adversarial Patch Attack on Object Detectors.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature DPatch: An Adversarial Patch Attack on Object Detectors

Reference 23

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature L.; Qi, P.; Xie, Z.; Hannun, A

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:12.059256Z

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This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 25

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This paper cites Diffusion Models for Adversarial Purification.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Diffusion Models for Adversarial Purification

Reference 26

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 27

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This paper cites R.; Cogswell, M.; Das, A.; Vedantam, R.; Parikh, D.; and Batra, D.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature R.; Cogswell, M.; Das, A.; Vedantam, R.; Parikh, D.; and Batra, D

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:12.028768Z

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 29

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This paper cites A.; Xu, Z.; Dickerson, J.; Studer, C.; Davis, L.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature A.; Xu, Z.; Dickerson, J.; Studer, C.; Davis, L

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:11.998187Z

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-11T06:00:11.983278Z

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This paper cites Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers

Reference 32

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This paper cites M.; Mitchell, M.; and Kenyon, G.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature M.; Mitchell, M.; and Kenyon, G

Reference 33

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Observation d4b6b312-d59c-4c15-80df-ea7389f3110c · outbound

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 34

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This paper cites DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation

Reference 35

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Observation 8b1d6ea7-8e27-4ccc-9ebd-97a68c755ce9 · outbound

This paper cites N.; Kaiser, .; and Polosukhin, I.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature N.; Kaiser, .; and Polosukhin, I

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:11.937951Z

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-11T06:00:11.922973Z

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-11T06:00:11.906986Z

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This paper cites Adversarial Examples in the Physical World: A Survey.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Adversarial Examples in the Physical World: A Survey

Reference 39

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 40

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Observation e81749a8-ad83-422d-aec8-55678983b8ba · outbound

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 41

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 42

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Observation c19d6813-af5b-402d-990b-cda10d93d163 · outbound

This paper cites Wide Residual Networks.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Wide Residual Networks

Reference 43

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Y.; Zhou, Z.; Wang, X.; Zhang, Y.; and Chen, C

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:11.861828Z

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Observation fd4870a2-e8ed-405a-b92c-e86704402d68 · outbound

This paper cites Y.; Hu, S.; Chen, C.; Liew, A.; and Li, Z.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Y.; Hu, S.; Chen, C.; Liew, A.; and Li, Z

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:11.846307Z

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Observation dd442581-8e5c-47da-aa01-09e161fcac95 · outbound

This paper cites BadRobot: Jailbreaking Embodied LLM Agents in the Physical World.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature BadRobot: Jailbreaking Embodied LLM Agents in the Physical World

Reference 46

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature A.; Shechtman, E.; and Wang, O

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:11.830356Z

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Observation 611cf8a5-82ec-4ebe-a092-032142c2cc0b · outbound

This paper cites an unresolved cited work.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-11T06:00:11.815287Z

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Observation 634ada19-6b42-47e9-bcf6-105c54588db7 · outbound

This paper cites an unresolved cited work.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-11T06:00:11.799168Z

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Observation b7520bf6-d1e2-49dd-afc2-bdb105c01d55 · outbound

This paper cites an unresolved cited work.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-11T06:00:11.781904Z

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This paper cites Y.; Hou, J.; and Jin, H.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Y.; Hou, J.; and Jin, H

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:11.766453Z

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Observation f4e5fd70-2dc8-4c9d-b112-706b7b0bcd9c · outbound

This paper cites Y.; Yao, D.; and Jin, H.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Y.; Yao, D.; and Jin, H

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:11.750784Z

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Observation 2556cf73-b98b-4d10-a65d-1e2a1b23d7d8 · outbound

This paper cites Y.; Yao, D.; and Jin, H.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Y.; Yao, D.; and Jin, H

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:11.735520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 50e6adae-2b0b-4c6d-82aa-293cc76dd2b4 · outbound

This paper cites Y.; Yao, D.; and Jin, H.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Y.; Yao, D.; and Jin, H

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:11.719898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 777ba0a0-eaeb-4bb7-ab01-5624b32348a8 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T06:00:11.342802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers