Consistency Regularization for Adversarial Robustness

8 March 2021

Papers citing "Consistency Regularization for Adversarial Robustness"

38 / 38 papers shown

Title
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 185 0 0 09 Mar 2025
A margin-based replacement for cross-entropy loss Michael W. Spratling Heiko H. Schütt 68 0 0 21 Jan 2025
New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes Y. Wang Li Liu Zi Liang Qingqing Ye Haibo Hu AAML 23 1 0 16 Oct 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness Kejia Zhang Juanjuan Weng Yuanzheng Cai Zhiming Luo Shaozi Li AAML 64 0 0 04 Jul 2024
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization Zhaozhe Hu Jia-Li Yin Bin Chen Luojun Lin Bo-Hao Chen Ximeng Liu AAML 33 0 0 20 Jun 2024
Improving Adversarial Robustness via Decoupled Visual Representation Masking Decheng Liu Tao Chen Chunlei Peng Nannan Wang Ruimin Hu Xinbo Gao AAML 51 1 0 16 Jun 2024
Large Language Model Sentinel: LLM Agent for Adversarial Purification Guang Lin Qibin Zhao Qibin Zhao AAML 56 2 0 24 May 2024
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion Markus Frey Sichu Liang Wentao Hu Matthias Nau Ju Jia Shilin Wang AAML 36 3 0 21 Apr 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 36 5 0 01 Apr 2024
Adversarial Guided Diffusion Models for Adversarial Purification Guang Lin Zerui Tao Jianhai Zhang Toshihisa Tanaka Qibin Zhao 32 5 0 24 Mar 2024
SA-MixNet: Structure-aware Mixup and Invariance Learning for Scribble-supervised Road Extraction in Remote Sensing Images Jie Feng Hao Huang Junpeng Zhang Weisheng Dong Dingwen Zhang Licheng Jiao 33 2 0 03 Mar 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization Guang Lin Chao Li Jianhai Zhang Toshihisa Tanaka Qibin Zhao 39 13 0 29 Jan 2024
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 53 2 0 06 Dec 2023
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection Xiaohu Lu H. Radha AAML 3DPC 39 0 0 05 Dec 2023
Adversarially Robust Spiking Neural Networks Through Conversion Ozan Özdenizci Robert Legenstein AAML 38 8 0 15 Nov 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models Andy Zhou Jindong Wang Yu-xiong Wang Haohan Wang VLM 49 6 0 02 Nov 2023
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective Bhagyashree Puranik Ahmad Beirami Yao Qin Upamanyu Madhow AAML 23 0 0 02 Nov 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 40 1 0 06 Oct 2023
A Spectral Perspective towards Understanding and Improving Adversarial Robustness Binxiao Huang Rui Lin Chaofan Tao Ngai Wong AAML 42 0 0 25 Jun 2023
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation Lin Li Jianing Qiu Michael W. Spratling AAML 32 4 0 12 Jun 2023
Exploiting Frequency Spectrum of Adversarial Images for General Robustness Chun Yang Tan K. Kawamoto Hiroshi Kera AAML OOD 31 1 0 15 May 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min-Bin Lin Weiwei Liu Shuicheng Yan DiffM 24 208 0 09 Feb 2023
Data Augmentation Alone Can Improve Adversarial Training Lin Li Michael W. Spratling 16 50 0 24 Jan 2023
Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization Lin Li Michael W. Spratling AAML 28 34 0 09 Dec 2022
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection Kunlan Xiang Xing Zhang Jinwen She Jinpeng Liu Haohan Wang Shiqi Deng Shancheng Jiang OOD MedIm 37 5 0 30 Nov 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie-jin Yang 27 10 0 17 Oct 2022
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System Xin Li Yao Qiang Chengyin Li Sijia Liu D. Zhu OOD MedIm 31 4 0 09 Sep 2022
Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization Shudong Zhang Haichang Gao Tianwei Zhang Yunyi Zhou Zihui Wu AAML 23 3 0 24 May 2022
Adversarial amplitude swap towards robust image classifiers Tan Yang K. Kawamoto Hiroshi Kera AAML 13 1 0 14 Mar 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu (Allen) Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 85 46 0 20 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? Lue Tao Lei Feng Hongxin Wei Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 83 16 0 31 Jan 2022
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness Jia-Li Yin Lehui Xie Wanqing Zhu Ximeng Liu Bo-Hao Chen TTA AAML 27 3 0 01 Dec 2021
Robustness through Data Augmentation Loss Consistency Tianjian Huang Shaunak Halbe Chinnadhurai Sankar P. Amini Satwik Kottur A. Geramifard Meisam Razaviyayn Ahmad Beirami OOD 45 8 0 21 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 186 273 0 28 Sep 2021
Comparing the Machine Readability of Traffic Sign Pictograms in Austria and Germany Alexander Maletzky S. Thumfart Christoph Wruss 11 0 0 06 Sep 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 34 103 0 10 May 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training Lue Tao Lei Feng Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 34 71 0 09 Feb 2021
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016