Mitigating Error Amplification in Fast Adversarial Training | Paper Citation Record

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This paper cites Understanding and im- proving fast adversarial training.

Mitigating Error Amplification in Fast Adversarial Training Understanding and im- proving fast adversarial training

Reference 1

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This paper cites Advdo: Realistic adversarial attacks for trajectory prediction.

Mitigating Error Amplification in Fast Adversarial Training Advdo: Realistic adversarial attacks for trajectory prediction

Reference 2

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This paper cites Towards evaluating the robustness of neural networks.

Mitigating Error Amplification in Fast Adversarial Training Towards evaluating the robustness of neural networks

Reference 3

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This paper cites Defending Against Unforeseen Failure Modes with Latent Adversarial Training.

Mitigating Error Amplification in Fast Adversarial Training Defending Against Unforeseen Failure Modes with Latent Adversarial Training

Reference 4

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This paper cites Fast Gradient Non-sign Methods.

Mitigating Error Amplification in Fast Adversarial Training Fast Gradient Non-sign Methods

Reference 5

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Observation f0a59fad-f328-4fa7-9f04-9d0d6c17b2f3 · outbound

This paper cites Reliable evalua- tion of adversarial robustness with an ensemble of diverse parameter-free attacks.

Mitigating Error Amplification in Fast Adversarial Training Reliable evalua- tion of adversarial robustness with an ensemble of diverse parameter-free attacks

Reference 6

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Observation 2d4df3d5-3386-4aa5-92af-de98b8210126 · outbound

This paper cites Make some noise: Reliable and efficient single-step adver- sarial training.NIPS, 35:12881–12893.

Mitigating Error Amplification in Fast Adversarial Training Make some noise: Reliable and efficient single-step adver- sarial training.NIPS, 35:12881–12893

Reference 7

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This paper cites Imagenet: A large-scale hierarchical image database.

Mitigating Error Amplification in Fast Adversarial Training Imagenet: A large-scale hierarchical image database

Reference 8

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This paper cites Boosting adversarial at- tacks with momentum.

Mitigating Error Amplification in Fast Adversarial Training Boosting adversarial at- tacks with momentum

Reference 9

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This paper cites Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training.

Mitigating Error Amplification in Fast Adversarial Training Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training

Reference 10

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This paper cites Minimally distorted adversarial examples with a fast adaptive boundary attack.

Mitigating Error Amplification in Fast Adversarial Training Minimally distorted adversarial examples with a fast adaptive boundary attack

Reference 11

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Observation 99289607-c73b-4eae-8017-3ab6ada1e7fb · outbound

This paper cites ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training.

Mitigating Error Amplification in Fast Adversarial Training ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training

Reference 12

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Observation 4db6ada4-75a7-4bd2-b305-75a47b594d2f · outbound

This paper cites Explaining and harnessing adversarial examples.

Mitigating Error Amplification in Fast Adversarial Training Explaining and harnessing adversarial examples

Reference 13

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This paper cites Segpgd: An effective and efficient adversarial attack for evaluating and boosting segmentation robustness.

Mitigating Error Amplification in Fast Adversarial Training Segpgd: An effective and efficient adversarial attack for evaluating and boosting segmentation robustness

Reference 14

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This paper cites Deep residual learning for image recognition.

Mitigating Error Amplification in Fast Adversarial Training Deep residual learning for image recognition

Reference 15

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Observation e09fb949-428d-40c5-83af-1dbc29f5a88f · outbound

This paper cites Fast adversarial training with adaptive step size.TIP, 32:6102–6114.

Mitigating Error Amplification in Fast Adversarial Training Fast adversarial training with adaptive step size.TIP, 32:6102–6114

Reference 16

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Observation f28da80b-1f9a-4d3f-a7b9-fafa39c0d4c4 · outbound

This paper cites Las-at: adversarial training with learn- able attack strategy.

Mitigating Error Amplification in Fast Adversarial Training Las-at: adversarial training with learn- able attack strategy

Reference 17

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This paper cites Boosting fast adversarial training with learnable adversarial initialization.TIP, 31:4417–4430.

Mitigating Error Amplification in Fast Adversarial Training Boosting fast adversarial training with learnable adversarial initialization.TIP, 31:4417–4430

Reference 18

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This paper cites Revisiting and exploring efficient fast adversarial train- ing via law: Lipschitz regularization and auto weight aver- aging.TIFS.

Mitigating Error Amplification in Fast Adversarial Training Revisiting and exploring efficient fast adversarial train- ing via law: Lipschitz regularization and auto weight aver- aging.TIFS

Reference 19

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Observation 6109d3f4-09e7-4807-9a90-73e793c99b85 · outbound

This paper cites Improving fast adversar- ial training with prior-guided knowledge.PAMI.

Mitigating Error Amplification in Fast Adversarial Training Improving fast adversar- ial training with prior-guided knowledge.PAMI

Reference 20

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Observation 8e2a3e07-a875-4a21-abfc-9f56b2ea3a28 · outbound

This paper cites Understanding catastrophic overfitting in single-step adversarial training.

Mitigating Error Amplification in Fast Adversarial Training Understanding catastrophic overfitting in single-step adversarial training

Reference 21

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

Mitigating Error Amplification in Fast Adversarial Training Learning multiple layers of features from tiny images

Reference 22

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Observation 9f88c487-d058-49c6-9f3f-de3f80d47b2c · outbound

This paper cites Kurakin, I.J.

Mitigating Error Amplification in Fast Adversarial Training Kurakin, I.J

Reference 23

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Observation 2e58d535-2e1b-45b6-afc9-b640c00048c8 · outbound

This paper cites Ad- versarial examples in the physical world.

Mitigating Error Amplification in Fast Adversarial Training Ad- versarial examples in the physical world

Reference 24

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Observation bcbbbd2b-2c1e-4ded-835d-88917042103a · outbound

This paper cites Subspace adversarial training.

Mitigating Error Amplification in Fast Adversarial Training Subspace adversarial training

Reference 25

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

Mitigating Error Amplification in Fast Adversarial Training Towards deep learning models resistant to adversarial attacks

Reference 26

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Observation 56af4556-e03e-4af1-91f9-d4e334a6cd27 · outbound

This paper cites Square attack: a query-efficient black-box adversarial attack via random search.

Mitigating Error Amplification in Fast Adversarial Training Square attack: a query-efficient black-box adversarial attack via random search

Reference 27

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Observation 87a06f12-1dc7-496d-9d59-e8342874cd89 · outbound

This paper cites When adversarial training meets vision trans- formers: Recipes from training to architecture.NIPS, 35: 18599–18611.

Mitigating Error Amplification in Fast Adversarial Training When adversarial training meets vision trans- formers: Recipes from training to architecture.NIPS, 35: 18599–18611

Reference 28

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This paper cites Fast Adversarial Training with Noise Augmentation: A Unified Perspective on RandStart and GradAlign.

Mitigating Error Amplification in Fast Adversarial Training Fast Adversarial Training with Noise Augmentation: A Unified Perspective on RandStart and GradAlign

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This paper cites Adversarial initialization with universal adversarial perturbation: A new approach to fast adversarial training.

Mitigating Error Amplification in Fast Adversarial Training Adversarial initialization with universal adversarial perturbation: A new approach to fast adversarial training

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This paper cites Reliably fast adver- sarial training via latent adversarial perturbation.

Mitigating Error Amplification in Fast Adversarial Training Reliably fast adver- sarial training via latent adversarial perturbation

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This paper cites Overfitting in ad- versarially robust deep learning.

Mitigating Error Amplification in Fast Adversarial Training Overfitting in ad- versarially robust deep learning

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This paper cites Adversarial training for free!NIPS, 32.

Mitigating Error Amplification in Fast Adversarial Training Adversarial training for free!NIPS, 32

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This paper cites BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning.

Mitigating Error Amplification in Fast Adversarial Training BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning

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This paper cites Guided adversarial attack for evaluating and enhancing adversarial defenses.NIPS, 33:20297–20308.

Mitigating Error Amplification in Fast Adversarial Training Guided adversarial attack for evaluating and enhancing adversarial defenses.NIPS, 33:20297–20308

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This paper cites Towards efficient and effective adversarial training.

Mitigating Error Amplification in Fast Adversarial Training Towards efficient and effective adversarial training

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This paper cites Effective single-step adver- sarial training with energy-based models.IEEE Transactions on Emerging Topics in Computational Intelligence.

Mitigating Error Amplification in Fast Adversarial Training Effective single-step adver- sarial training with energy-based models.IEEE Transactions on Emerging Topics in Computational Intelligence

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This paper cites Taxonomy driven fast adversarial training.

Mitigating Error Amplification in Fast Adversarial Training Taxonomy driven fast adversarial training

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This paper cites Improving adversarial robustness requires revisiting misclassified examples.

Mitigating Error Amplification in Fast Adversarial Training Improving adversarial robustness requires revisiting misclassified examples

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This paper cites Re- visiting adversarial training at scale.

Mitigating Error Amplification in Fast Adversarial Training Re- visiting adversarial training at scale

Reference 40

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Observation 002db7e6-b69e-4648-b7bb-2a4c76f05659 · outbound

This paper cites Wong E, Rice L.

Mitigating Error Amplification in Fast Adversarial Training Wong E, Rice L

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Observation 45e9a97c-502d-4fb1-b67b-3dedf952c7de · outbound

This paper cites Prior-guided adversarial initialization for fast adversarial training.

Mitigating Error Amplification in Fast Adversarial Training Prior-guided adversarial initialization for fast adversarial training

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Observation a8176e9f-974d-42a8-a719-3af4b85cc1e2 · outbound

This paper cites Structure-guided adversarial training of diffusion models.

Mitigating Error Amplification in Fast Adversarial Training Structure-guided adversarial training of diffusion models

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Observation 5744edad-3317-4136-b36f-f800cf35d793 · outbound

This paper cites Fast Adversarial Training against Textual Adversarial Attacks.

Mitigating Error Amplification in Fast Adversarial Training Fast Adversarial Training against Textual Adversarial Attacks

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Observation ca21845c-9143-4839-a939-5fec012e4335 · outbound

This paper cites Robust and transferable backdoor attacks against deep image compres- sion with selective frequency prior.IEEE Transactions on Pattern Analysis and Machine Intelligence.

Mitigating Error Amplification in Fast Adversarial Training Robust and transferable backdoor attacks against deep image compres- sion with selective frequency prior.IEEE Transactions on Pattern Analysis and Machine Intelligence

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Observation 646da963-0812-4542-900e-77989b3df96d · outbound

This paper cites Towards model resistant to transferable adversarial examples via trigger ac- tivation.IEEE Transactions on Information Forensics and Security.

Mitigating Error Amplification in Fast Adversarial Training Towards model resistant to transferable adversarial examples via trigger ac- tivation.IEEE Transactions on Information Forensics and Security

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Observation 064a9f43-287d-4d02-b914-6e091d3f5047 · outbound

This paper cites Backdoor attacks against no- reference image quality assessment models via a scalable trigger.

Mitigating Error Amplification in Fast Adversarial Training Backdoor attacks against no- reference image quality assessment models via a scalable trigger

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:13:03.760931Z

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Observation 1ff1d1f4-ee66-4b6d-acea-4c9358a7c7ea · outbound

This paper cites Mtl-ue: Learning to learn nothing for multi-task learning.

Mitigating Error Amplification in Fast Adversarial Training Mtl-ue: Learning to learn nothing for multi-task learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:13:03.721156Z

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Observation 7c0d8b22-b83c-46b7-95cb-16d0847cba1b · outbound

This paper cites Revisiting adversarial training under long-tailed distribu- tions.

Mitigating Error Amplification in Fast Adversarial Training Revisiting adversarial training under long-tailed distribu- tions

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Observation 850c75dc-9701-407a-9b4a-aab185ed2b85 · outbound

This paper cites Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning.

Mitigating Error Amplification in Fast Adversarial Training Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning

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Resolution: verified exact; local_arxiv, observed 2026-05-11T21:46:49.442529Z

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Observation 457884b2-ee9e-47ed-90ae-fbfe8a86bd05 · outbound

This paper cites Theoretically principled trade-off between robustness and accuracy.

Mitigating Error Amplification in Fast Adversarial Training Theoretically principled trade-off between robustness and accuracy

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:13:03.678841Z

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Observation e03b4a89-7097-456a-80ac-fb5bda25afc7 · outbound

This paper cites Revisiting and advancing fast adversarial training through the lens of bi-level optimiza- tion.

Mitigating Error Amplification in Fast Adversarial Training Revisiting and advancing fast adversarial training through the lens of bi-level optimiza- tion

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Observation 085f4b69-f571-4c69-82e0-656e06fa56fb · outbound

This paper cites Defensive unlearning with adversarial training for robust concept erasure in diffusion models.NIPS, 37:36748– 36776.

Mitigating Error Amplification in Fast Adversarial Training Defensive unlearning with adversarial training for robust concept erasure in diffusion models.NIPS, 37:36748– 36776

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:13:03.718022Z

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Observation f639657c-9a5c-40e8-86fa-6594ea4ad5b6 · outbound

This paper cites Fast adversarial training with smooth convergence.

Mitigating Error Amplification in Fast Adversarial Training Fast adversarial training with smooth convergence

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:13:03.724501Z

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Observation 2392d515-79e6-44dd-8c7b-e037febca0d6 · outbound

This paper cites Catastrophic overfitting: A potential blessing in disguise.

Mitigating Error Amplification in Fast Adversarial Training Catastrophic overfitting: A potential blessing in disguise

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:13:03.604148Z

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Observation d2eb0952-27b8-4765-b8dd-c9a2e956253d · outbound

This paper cites Shadows can be dangerous: Stealthy and effective physical-world adversarial attack by natural phe- nomenon.

Mitigating Error Amplification in Fast Adversarial Training Shadows can be dangerous: Stealthy and effective physical-world adversarial attack by natural phe- nomenon

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:13:03.672108Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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