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Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions

International Conference on Learning Representations (ICLR), 2019

5 July 2019

Papers citing "Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions"

40 / 40 papers shown

Title
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better MingWei Zhou Xiaobing Pei AAML 838 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 871 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 176 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 209 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 519 22 0 10 May 2023
Generalist: Decoupling Natural and Robust GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023 Hongjun Wang Yisen Wang OOD AAML 194 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 165 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 316 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 142 2 0 23 Nov 2022
Activation Learning by Local Competitions Hongchao Zhou AAML 258 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 185 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 167 11 0 16 Jul 2022
Learning with Capsules: A Survey Fabio De Sousa Ribeiro Kevin Duarte Miles Everett Georgios Leontidis M. Shah 3DPC MedIm 265 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 450 295 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 184 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 133 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 174 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 158 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 242 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 137 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 147 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 142 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 262 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 192 28 0 29 Jun 2020
Capsules for Biomedical Image Segmentation Rodney LaLonde Ziyue Xu Ismail Irmakci Sanjay Jain Ulas Bagci SSeg MedIm 84 0 0 09 Apr 2020
Deflecting Adversarial Attacks Yao Qin Nicholas Frosst Colin Raffel G. Cottrell Geoffrey E. Hinton AAML 131 16 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 191 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 151 12 0 23 Dec 2018