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Title
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better MingWei Zhou Xiaobing Pei AAML 822 0 0 30 Mar 2025
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 839 0 0 03 Oct 2024
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples Brian Bell Michael Geyer David Glickenstein Keaton Hamm C. Scheidegger Amanda S. Fernandez Juston Moore AAML 199 2 0 11 Apr 2024
PRAT: PRofiling Adversarial aTtacks Rahul Ambati Naveed Akhtar Lin Wang Yogesh S Rawat AAML 172 1 0 20 Sep 2023
$Releasing Inequality Phenomenon in $\ell_{\infty}$-norm Adversarial Training via Input Gradient Distillation$ Releasing Inequality Phenomenon in $\ell_{\infty}$ -norm Adversarial Training via Input Gradient DistillationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Junxi Chen Junhao Dong Xiaohua Xie Jianhuang Lai AAML 185 0 0 16 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 483 21 0 10 May 2023
Generalist: Decoupling Natural and Robust GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023 Hongjun Wang Yisen Wang OOD AAML 186 17 0 24 Mar 2023
Scalable Attribution of Adversarial Attacks via Multi-Task Learning Zhongyi Guo Keji Han Yao Ge Wei Ji Yun Li AAML 161 2 0 25 Feb 2023
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel Yao Qin Xuezhi Wang Balaji Lakshminarayanan Ed H. Chi Alex Beutel UQCV 161 6 0 22 Feb 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text ClassificationInternational Conference on Learning Representations (ICLR), 2023 Lingfeng Shen Ze Zhang Haiyun Jiang Ying-Cong Chen AAML 300 9 0 03 Feb 2023
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks Huma Jamil Yajing Liu Christina Cole Nathaniel Blanchard E. King Michael Kirby C. Peterson AAML 130 2 0 23 Nov 2022
Activation Learning by Local Competitions Hongchao Zhou AAML 254 7 0 26 Sep 2022
Rethinking Textual Adversarial Defense for Pre-trained Language ModelsIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022 Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML SILM 173 14 0 21 Jul 2022
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders Jiahao Qi Z. Gong Xingyue Liu Kangcheng Bin Chen Chen Yongqiang Li Wei Xue Yu Zhang P. Zhong AAML 163 11 0 16 Jul 2022
Learning with Capsules: A Survey Fabio De Sousa Ribeiro Kevin Duarte Miles Everett Georgios Leontidis M. Shah 3DPC MedIm 253 21 0 06 Jun 2022
Self-Ensemble Adversarial Training for Improved RobustnessInternational Conference on Learning Representations (ICLR), 2022 Hongjun Wang Yisen Wang OOD AAML 192 57 0 18 Mar 2022
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view InconsistencyAsia-Pacific Computer Systems Architecture Conference (ACSA), 2021 Sohaib Kiani S. Awan Chao Lan Fengjun Li Bo Luo GAN AAML 149 10 0 25 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Lin Wang Navid Kardan M. Shah AAML 434 291 0 01 Aug 2021
Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training Dawei Zhou N. Wang Xinbo Gao Bo Han Jun Yu Xiaoyu Wang Tongliang Liu AAML 110 4 0 10 Jun 2021
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels Jingfeng Zhang Xilie Xu Bo Han Tongliang Liu Gang Niu Li-zhen Cui Masashi Sugiyama NoLa AAML 180 9 0 31 May 2021
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows Samuel von Baussnern Johannes Otterbach Adrian Loy Mathieu Salzmann Thomas Wollmann 125 1 0 30 May 2021
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using CapsulesComputer Vision and Pattern Recognition (CVPR), 2021 Aisha Urooj Khan Hilde Kuehne Kevin Duarte Chuang Gan N. Lobo M. Shah 170 40 0 11 May 2021
Self-Supervised Adversarial Example Detection by Disentangled RepresentationInternational Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021 Zhaoxi Zhang L. Zhang Xufei Zheng Jinyu Tian Jiantao Zhou AAML DRL 154 10 0 08 May 2021
Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search Dylan R. Ashley Anssi Kanervisto Brendan Bennett 234 2 0 01 Apr 2021
Capsule Network is Not More Robust than Convolutional NetworkComputer Vision and Pattern Recognition (CVPR), 2021 Jindong Gu Volker Tresp Han Hu AAML 89 31 0 29 Mar 2021
Stabilized Medical Image AttacksInternational Conference on Learning Representations (ICLR), 2021 Gege Qi Lijun Gong Yibing Song Kai Ma Yefeng Zheng OOD AAML MedIm 133 34 0 09 Mar 2021
WaveGuard: Understanding and Mitigating Audio Adversarial ExamplesUSENIX Security Symposium (USENIX Security), 2021 Shehzeen Samarah Hussain Paarth Neekhara Shlomo Dubnov Julian McAuley F. Koushanfar AAML 138 82 0 04 Mar 2021
Effective Universal Unrestricted Adversarial Attacks using a MOE Approach Alina Elena Baia G. D. Bari V. Poggioni AAML 143 8 0 27 Feb 2021
Effective and Efficient Vote Attack on Capsule NetworksInternational Conference on Learning Representations (ICLR), 2021 Jindong Gu Baoyuan Wu Volker Tresp AAML 134 27 0 19 Feb 2021
Hierarchical Graph Capsule NetworkAAAI Conference on Artificial Intelligence (AAAI), 2020 Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 246 35 0 16 Dec 2020
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection Byunggill Joe Jihun Hamm Sung Ju Hwang Sooel Son I. Shin AAML OOD 157 0 0 07 Dec 2020
Interpretable Graph Capsule Networks for Object RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2020 Jindong Gu Volker Tresp FAtt 208 41 0 03 Dec 2020
Detecting Adversarial Patches with Class Conditional Reconstruction Networks Perry Deng Mohammad Saidur Rahman M. Wright AAML 177 2 0 11 Nov 2020
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware Alberto Marchisio Vojtěch Mrázek Muhammad Abdullah Hanif Mohamed Bennai 99 13 0 12 Oct 2020
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses Fu-Huei Lin Rohit Mittapalli Prithvijit Chattopadhyay Daniel Bolya Judy Hoffman AAML 132 2 0 25 Aug 2020
Improving Calibration through the Relationship with Adversarial Robustness Yao Qin Xuezhi Wang Alex Beutel Ed H. Chi AAML 176 28 0 29 Jun 2020
Capsules for Biomedical Image Segmentation Rodney LaLonde Ziyue Xu Ismail Irmakci Sanjay Jain Ulas Bagci SSeg MedIm 80 0 0 09 Apr 2020
Deflecting Adversarial Attacks Yao Qin Nicholas Frosst Colin Raffel G. Cottrell Geoffrey E. Hinton AAML 131 17 0 18 Feb 2020
Controversial stimuli: pitting neural networks against each other as models of human recognition Tal Golan Prashant C. Raju N. Kriegeskorte AAML 183 39 0 21 Nov 2019
Increasing the adversarial robustness and explainability of capsule networks with $γ$ -capsules David Peer Sebastian Stabinger A. Rodríguez-Sánchez AAML GAN MedIm 147 11 0 23 Dec 2018

Title

Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better

MingWei Zhou

Xiaobing Pei

AAML

822

30 Mar 2025

Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors

Shuangpeng Han

Mengmi Zhang

839

03 Oct 2024

Persistent Classification: A New Approach to Stability of Data and Adversarial Examples

199

11 Apr 2024

PRAT: PRofiling Adversarial aTtacks

172

20 Sep 2023

$Releasing Inequality Phenomenon in $\ell_{\infty}$-norm Adversarial Training via Input Gradient Distillation$

Releasing Inequality Phenomenon in

\ell_{\infty}

-norm Adversarial Training via Input Gradient DistillationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023

185

16 May 2023

A Survey on the Robustness of Computer Vision Models against Common Corruptions

Shunxin Wang

Raymond N. J. Veldhuis

Christoph Brune

N. Strisciuglio

OOD VLM

483

10 May 2023

Generalist: Decoupling Natural and Robust GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023

Hongjun Wang

Yisen Wang

OOD AAML

186

24 Mar 2023

Scalable Attribution of Adversarial Attacks via Multi-Task Learning

161

25 Feb 2023

What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel

Yao Qin

Xuezhi Wang

Balaji Lakshminarayanan

Ed H. Chi

Alex Beutel

UQCV

161

22 Feb 2023

TextShield: Beyond Successfully Detecting Adversarial Sentences in Text ClassificationInternational Conference on Learning Representations (ICLR), 2023

Lingfeng Shen

300

03 Feb 2023

Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks

130

23 Nov 2022

Activation Learning by Local Competitions

Hongchao Zhou

AAML

254

26 Sep 2022

Rethinking Textual Adversarial Defense for Pre-trained Language ModelsIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022

173

21 Jul 2022

Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders

163

16 Jul 2022

Learning with Capsules: A Survey

Fabio De Sousa Ribeiro

253

06 Jun 2022

Self-Ensemble Adversarial Training for Improved RobustnessInternational Conference on Learning Representations (ICLR), 2022

Hongjun Wang

Yisen Wang

OOD AAML

192

18 Mar 2022

Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view InconsistencyAsia-Pacific Computer Systems Architecture Conference (ACSA), 2021

149

25 Sep 2021

Advances in adversarial attacks and defenses in computer vision: A survey

434

291

01 Aug 2021

Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training

Dawei Zhou

N. Wang

Xinbo Gao

Bo Han

110

10 Jun 2021

NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels

Bo Han

180

31 May 2021

DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows

125

30 May 2021

Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using CapsulesComputer Vision and Pattern Recognition (CVPR), 2021

Chuang Gan

170

11 May 2021

Self-Supervised Adversarial Example Detection by Disentangled RepresentationInternational Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021

154

08 May 2021

Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search

Dylan R. Ashley

Anssi Kanervisto

Brendan Bennett

234

01 Apr 2021

Capsule Network is Not More Robust than Convolutional NetworkComputer Vision and Pattern Recognition (CVPR), 2021

Jindong Gu

Volker Tresp

Han Hu

AAML

29 Mar 2021

Stabilized Medical Image AttacksInternational Conference on Learning Representations (ICLR), 2021

133

09 Mar 2021

WaveGuard: Understanding and Mitigating Audio Adversarial ExamplesUSENIX Security Symposium (USENIX Security), 2021

Shehzeen Samarah Hussain

Shlomo Dubnov

138

04 Mar 2021

Effective Universal Unrestricted Adversarial Attacks using a MOE Approach

143

27 Feb 2021

Effective and Efficient Vote Attack on Capsule NetworksInternational Conference on Learning Representations (ICLR), 2021

Jindong Gu

Baoyuan Wu

Volker Tresp

AAML

134

19 Feb 2021

Hierarchical Graph Capsule NetworkAAAI Conference on Artificial Intelligence (AAAI), 2020

246

16 Dec 2020

Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection

157

07 Dec 2020

Interpretable Graph Capsule Networks for Object RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2020

Jindong Gu

Volker Tresp

FAtt

208

03 Dec 2020

Detecting Adversarial Patches with Class Conditional Reconstruction Networks

Perry Deng

Mohammad Saidur Rahman

M. Wright

AAML

177

11 Nov 2020

DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware

Alberto Marchisio

Vojtěch Mrázek

Muhammad Abdullah Hanif

Mohamed Bennai

12 Oct 2020

Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses

Fu-Huei Lin

Rohit Mittapalli

Prithvijit Chattopadhyay

Daniel Bolya

Judy Hoffman

AAML

132

25 Aug 2020

Improving Calibration through the Relationship with Adversarial Robustness

176

29 Jun 2020

Capsules for Biomedical Image Segmentation

Ziyue Xu

09 Apr 2020

Deflecting Adversarial Attacks

131

18 Feb 2020

Controversial stimuli: pitting neural networks against each other as models of human recognition

183

21 Nov 2019

Increasing the adversarial robustness and explainability of capsule networks with

γ

147

23 Dec 2018

Title
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better MingWei Zhou Xiaobing Pei AAML 822 0 0 30 Mar 2025
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 839 0 0 03 Oct 2024
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples Brian Bell Michael Geyer David Glickenstein Keaton Hamm C. Scheidegger Amanda S. Fernandez Juston Moore AAML 199 2 0 11 Apr 2024
PRAT: PRofiling Adversarial aTtacks Rahul Ambati Naveed Akhtar Lin Wang Yogesh S Rawat AAML 172 1 0 20 Sep 2023
$Releasing Inequality Phenomenon in $\ell_{\infty}$-norm Adversarial Training via Input Gradient Distillation$ Releasing Inequality Phenomenon in $\ell_{\infty}$ -norm Adversarial Training via Input Gradient DistillationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Junxi Chen Junhao Dong Xiaohua Xie Jianhuang Lai AAML 185 0 0 16 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 483 21 0 10 May 2023
Generalist: Decoupling Natural and Robust GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023 Hongjun Wang Yisen Wang OOD AAML 186 17 0 24 Mar 2023
Scalable Attribution of Adversarial Attacks via Multi-Task Learning Zhongyi Guo Keji Han Yao Ge Wei Ji Yun Li AAML 161 2 0 25 Feb 2023
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel Yao Qin Xuezhi Wang Balaji Lakshminarayanan Ed H. Chi Alex Beutel UQCV 161 6 0 22 Feb 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text ClassificationInternational Conference on Learning Representations (ICLR), 2023 Lingfeng Shen Ze Zhang Haiyun Jiang Ying-Cong Chen AAML 300 9 0 03 Feb 2023
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks Huma Jamil Yajing Liu Christina Cole Nathaniel Blanchard E. King Michael Kirby C. Peterson AAML 130 2 0 23 Nov 2022
Activation Learning by Local Competitions Hongchao Zhou AAML 254 7 0 26 Sep 2022
Rethinking Textual Adversarial Defense for Pre-trained Language ModelsIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022 Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML SILM 173 14 0 21 Jul 2022
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders Jiahao Qi Z. Gong Xingyue Liu Kangcheng Bin Chen Chen Yongqiang Li Wei Xue Yu Zhang P. Zhong AAML 163 11 0 16 Jul 2022
Learning with Capsules: A Survey Fabio De Sousa Ribeiro Kevin Duarte Miles Everett Georgios Leontidis M. Shah 3DPC MedIm 253 21 0 06 Jun 2022
Self-Ensemble Adversarial Training for Improved RobustnessInternational Conference on Learning Representations (ICLR), 2022 Hongjun Wang Yisen Wang OOD AAML 192 57 0 18 Mar 2022
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view InconsistencyAsia-Pacific Computer Systems Architecture Conference (ACSA), 2021 Sohaib Kiani S. Awan Chao Lan Fengjun Li Bo Luo GAN AAML 149 10 0 25 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Lin Wang Navid Kardan M. Shah AAML 434 291 0 01 Aug 2021
Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training Dawei Zhou N. Wang Xinbo Gao Bo Han Jun Yu Xiaoyu Wang Tongliang Liu AAML 110 4 0 10 Jun 2021
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels Jingfeng Zhang Xilie Xu Bo Han Tongliang Liu Gang Niu Li-zhen Cui Masashi Sugiyama NoLa AAML 180 9 0 31 May 2021
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows Samuel von Baussnern Johannes Otterbach Adrian Loy Mathieu Salzmann Thomas Wollmann 125 1 0 30 May 2021
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using CapsulesComputer Vision and Pattern Recognition (CVPR), 2021 Aisha Urooj Khan Hilde Kuehne Kevin Duarte Chuang Gan N. Lobo M. Shah 170 40 0 11 May 2021
Self-Supervised Adversarial Example Detection by Disentangled RepresentationInternational Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021 Zhaoxi Zhang L. Zhang Xufei Zheng Jinyu Tian Jiantao Zhou AAML DRL 154 10 0 08 May 2021
Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search Dylan R. Ashley Anssi Kanervisto Brendan Bennett 234 2 0 01 Apr 2021
Capsule Network is Not More Robust than Convolutional NetworkComputer Vision and Pattern Recognition (CVPR), 2021 Jindong Gu Volker Tresp Han Hu AAML 89 31 0 29 Mar 2021
Stabilized Medical Image AttacksInternational Conference on Learning Representations (ICLR), 2021 Gege Qi Lijun Gong Yibing Song Kai Ma Yefeng Zheng OOD AAML MedIm 133 34 0 09 Mar 2021
WaveGuard: Understanding and Mitigating Audio Adversarial ExamplesUSENIX Security Symposium (USENIX Security), 2021 Shehzeen Samarah Hussain Paarth Neekhara Shlomo Dubnov Julian McAuley F. Koushanfar AAML 138 82 0 04 Mar 2021
Effective Universal Unrestricted Adversarial Attacks using a MOE Approach Alina Elena Baia G. D. Bari V. Poggioni AAML 143 8 0 27 Feb 2021
Effective and Efficient Vote Attack on Capsule NetworksInternational Conference on Learning Representations (ICLR), 2021 Jindong Gu Baoyuan Wu Volker Tresp AAML 134 27 0 19 Feb 2021
Hierarchical Graph Capsule NetworkAAAI Conference on Artificial Intelligence (AAAI), 2020 Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 246 35 0 16 Dec 2020
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection Byunggill Joe Jihun Hamm Sung Ju Hwang Sooel Son I. Shin AAML OOD 157 0 0 07 Dec 2020
Interpretable Graph Capsule Networks for Object RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2020 Jindong Gu Volker Tresp FAtt 208 41 0 03 Dec 2020
Detecting Adversarial Patches with Class Conditional Reconstruction Networks Perry Deng Mohammad Saidur Rahman M. Wright AAML 177 2 0 11 Nov 2020
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware Alberto Marchisio Vojtěch Mrázek Muhammad Abdullah Hanif Mohamed Bennai 99 13 0 12 Oct 2020
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses Fu-Huei Lin Rohit Mittapalli Prithvijit Chattopadhyay Daniel Bolya Judy Hoffman AAML 132 2 0 25 Aug 2020
Improving Calibration through the Relationship with Adversarial Robustness Yao Qin Xuezhi Wang Alex Beutel Ed H. Chi AAML 176 28 0 29 Jun 2020
Capsules for Biomedical Image Segmentation Rodney LaLonde Ziyue Xu Ismail Irmakci Sanjay Jain Ulas Bagci SSeg MedIm 80 0 0 09 Apr 2020
Deflecting Adversarial Attacks Yao Qin Nicholas Frosst Colin Raffel G. Cottrell Geoffrey E. Hinton AAML 131 17 0 18 Feb 2020
Controversial stimuli: pitting neural networks against each other as models of human recognition Tal Golan Prashant C. Raju N. Kriegeskorte AAML 183 39 0 21 Nov 2019
Increasing the adversarial robustness and explainability of capsule networks with $γ$ -capsules David Peer Sebastian Stabinger A. Rodríguez-Sánchez AAML GAN MedIm 147 11 0 23 Dec 2018

Title

Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better

MingWei Zhou

Xiaobing Pei

AAML

822

30 Mar 2025

Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors

Shuangpeng Han

Mengmi Zhang

839

03 Oct 2024