Efficient Adversarial Training with Transferable Adversarial Examples

27 December 2019

Papers citing "Efficient Adversarial Training with Transferable Adversarial Examples"

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Title
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing Xuyang Zhong Yixiao Huang Chen Liu AAML 41 0 0 28 Feb 2025
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 0 0 19 Oct 2024
Improving Fast Adversarial Training via Self-Knowledge Guidance Chengze Jiang Junkai Wang Minjing Dong Jie Gui Xinli Shi Yuan Cao Yuan Yan Tang James Tin-Yau Kwok 29 1 0 26 Sep 2024
TF-Attack: Transferable and Fast Adversarial Attacks on Large Language Models Zelin Li Kehai Chen Lemao Liu Xuefeng Bai Mingming Yang Yang Xiang Min Zhang AAML 25 0 0 26 Aug 2024
Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization Jia-Li Yin Haoyuan Zheng Ximeng Liu AAML 28 0 0 19 Jun 2024
GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning Hsin-Jung Yang Joe Beck Md Zahid Hasan Ekin Beyazit Subhadeep Chakraborty Tichakorn Wongpiromsarn Soumik Sarkar 19 0 0 27 Mar 2024
Universal Pyramid Adversarial Training for Improved ViT Performance Ping Yeh-Chiang Yipin Zhou Omid Poursaeed S. Narayan Shukla Tom Goldstein Ser-Nam Lim AAML ViT 14 0 0 26 Dec 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 22 2 0 26 Nov 2023
The Hidden Adversarial Vulnerabilities of Medical Federated Learning Erfan Darzi Florian Dubost N. Sijtsema P. V. Ooijen FedML AAML MedIm 14 1 0 21 Oct 2023
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation Haizhong Zheng Jiachen Sun Shutong Wu B. Kailkhura Zhuoqing Mao Chaowei Xiao Atul Prakash DD 19 2 0 11 Oct 2023
Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors Biagio Montaruli Luca Demetrio Maura Pintor Luca Compagna Davide Balzarotti Battista Biggio AAML 24 5 0 04 Oct 2023
Intrinsic Biologically Plausible Adversarial Robustness Matilde Tristany Farinha Thomas Ortner Giorgia Dellaferrera Benjamin Grewe A. Pantazi AAML 25 1 0 29 Sep 2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging Xiaojun Jia YueFeng Chen Xiaofeng Mao Ranjie Duan Jindong Gu Rong Zhang H. Xue Xiaochun Cao AAML 11 9 0 22 Aug 2023
Hard Adversarial Example Mining for Improving Robust Fairness Chenhao Lin Xiang Ji Yulong Yang Q. Li Chao Shen Run Wang Liming Fang AAML 22 2 0 03 Aug 2023
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models Weikang Yu Yonghao Xu Pedram Ghamisi 21 4 0 31 Jul 2023
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples Shaokui Wei Mingda Zhang H. Zha Baoyuan Wu TPM 18 34 0 20 Jul 2023
Omnipotent Adversarial Training in the Wild Guanlin Li Kangjie Chen Yuan Xu Han Qiu Tianwei Zhang 14 0 0 14 Jul 2023
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets Yimu Wang Dinghuai Zhang Yihan Wu Heng Huang Hongyang R. Zhang AAML 15 1 0 27 Jun 2023
A Spectral Perspective towards Understanding and Improving Adversarial Robustness Binxiao Huang Rui Lin Chaofan Tao Ngai Wong AAML 40 0 0 25 Jun 2023
FedRight: An Effective Model Copyright Protection for Federated Learning Jinyin Chen Mingjun Li Mingjun Li Haibin Zheng FedML 9 11 0 18 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey Yulong Wang Tong Sun Shenghong Li Xinnan Yuan W. Ni E. Hossain H. Vincent Poor AAML 24 17 0 11 Mar 2023
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective Zhengbao He Tao Li Sizhe Chen X. Huang AAML 41 4 0 23 Feb 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 26 18 0 29 Jan 2023
SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation Wan-Xuan Zhu Jia-Li Yin Bo-Hao Chen Ximeng Liu 12 6 0 12 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun Chawin Sitawarin Jerry Li David A. Wagner AAML 25 14 0 12 Dec 2022
Revisiting Outer Optimization in Adversarial Training Ali Dabouei Fariborz Taherkhani Sobhan Soleymani Nasser M. Nasrabadi AAML 17 4 0 02 Sep 2022
Robust Real-World Image Super-Resolution against Adversarial Attacks N. Babaguchi John R. Smith Pengxu Wei T. Plagemann Rong Yan AAML 18 25 0 31 Jul 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness Jindong Gu Hengshuang Zhao Volker Tresp Philip H. S. Torr AAML 11 73 0 25 Jul 2022
Fast Adversarial Training with Adaptive Step Size Zhichao Huang Yanbo Fan Chen Liu Weizhong Zhang Yong Zhang Mathieu Salzmann Sabine Süsstrunk Jue Wang AAML 17 30 0 06 Jun 2022
FACM: Intermediate Layer Still Retain Effective Features against Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 34 0 0 02 Jun 2022
Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML OOD 11 1 0 02 Jun 2022
Batch Normalization Is Blind to the First and Second Derivatives of the Loss Zhanpeng Zhou Wen Shen Huixin Chen Ling Tang Quanshi Zhang 26 2 0 30 May 2022
Gradient Aligned Attacks via a Few Queries Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 30 0 0 19 May 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 27 3 0 16 May 2022
A Girl Has A Name, And It's ... Adversarial Authorship Attribution for Deobfuscation Wanyue Zhai Jonathan Rusert Zubair Shafiq P. Srinivasan 12 5 0 22 Mar 2022
A Survey on Metaverse: Fundamentals, Security, and Privacy Yuntao Wang Zhou Su Ning Zhang Rui Xing Dongxiao Liu Tom H. Luan X. Shen 28 805 0 05 Mar 2022
Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey Ngoc Dung Huynh Mohamed Reda Bouadjenek Imran Razzak Kevin Lee Chetan Arora Ali Hassani A. Zaslavsky AAML 21 6 0 22 Feb 2022
Random Walks for Adversarial Meshes Amir Belder Gal Yefet Ran Ben Izhak A. Tal AAML 25 2 0 15 Feb 2022
Robust Binary Models by Pruning Randomly-initialized Networks Chen Liu Ziqi Zhao Sabine Süsstrunk Mathieu Salzmann TPM AAML MQ 11 4 0 03 Feb 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization Yihua Zhang Guanhua Zhang Prashant Khanduri Min-Fong Hong Shiyu Chang Sijia Liu AAML 25 86 0 23 Dec 2021
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines Yuxuan Zhang B. Dong Felix Heide AAML 11 8 0 16 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training Chen Liu Zhichao Huang Mathieu Salzmann Tong Zhang Sabine Süsstrunk AAML 13 13 0 14 Dec 2021
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 11 3 0 01 Dec 2021
Meta Adversarial Perturbations Chia-Hung Yuan Pin-Yu Chen Chia-Mu Yu AAML 15 2 0 19 Nov 2021
Enhanced countering adversarial attacks via input denoising and feature restoring Yanni Li Wenhui Zhang Jiawei Liu Xiaoli Kou Hui Li Jiangtao Cui AAML 17 2 0 19 Nov 2021
Robustness through Data Augmentation Loss Consistency Tianjian Huang Shaunak Halbe Chinnadhurai Sankar P. Amini Satwik Kottur A. Geramifard Meisam Razaviyayn Ahmad Beirami OOD 37 8 0 21 Oct 2021
Adversarial Attack across Datasets Yunxiao Qin Yuanhao Xiong Jinfeng Yi Lihong Cao Cho-Jui Hsieh AAML 30 3 0 13 Oct 2021
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation Mengxi Wu Hao Huang Yi Fang 3DPC 29 3 0 21 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 22 235 0 01 Aug 2021
$Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models$ Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models Ameya D. Patil Michael Tuttle A. Schwing Naresh R Shanbhag AAML 21 0 0 31 May 2021