v1v2 (latest)

Understanding and Improving Fast Adversarial Training

6 July 2020

Maksym Andriushchenko

Nicolas Flammarion

AAML

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Papers citing "Understanding and Improving Fast Adversarial Training"

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Title
Identifying and Understanding Cross-Class Features in Adversarial Training Zeming Wei Yiwen Guo Yisen Wang AAML 99 0 0 05 Jun 2025
Understanding Adversarial Training with Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Filippo Bartolucci Senad Beadini G. Lisanti I. Masi AAML 52 0 0 28 May 2025
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 127 0 0 20 May 2025
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation Meixi Zheng Kehan Wu Yanbo Fan Rui Huang Baoyuan Wu AAML 74 0 0 23 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 89 0 0 11 Apr 2025
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization Shuang Liu Yihan Wang Yifan Zhu Yibo Miao Xiao-Shan Gao 158 0 0 06 Mar 2025
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing Xuyang Zhong Yixiao Huang Chen Liu AAML 125 0 0 28 Feb 2025
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 84 3 0 08 Jan 2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness Olukorede Fakorede Modeste Atsague Jin Tian AAML 77 0 0 31 Dec 2024
Mitigating Adversarial Attacks in LLMs through Defensive Suffix Generation Minkyoung Kim Yunha Kim Hyeram Seo Heejung Choi Jiye Han ... Hyoje Jung Byeolhee Kim Young-Hak Kim Sanghyun Park Tae Joon Jun AAML 126 0 0 18 Dec 2024
Enhancing generalization in high energy physics using white-box adversarial attacks Franck Rothen Samuel Klein Matthew Leigh T. Golling AAML 55 1 0 14 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 91 1 0 05 Nov 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 84 1 0 19 Oct 2024
Understanding Adversarially Robust Generalization via Weight-Curvature Index Yuelin Xu Xiao Zhang AAML 61 0 0 10 Oct 2024
On Using Certified Training towards Empirical Robustness Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 108 1 0 02 Oct 2024
Characterizing Model Robustness via Natural Input Gradients Adrian Rodriguez-Munoz Tongzhou Wang Antonio Torralba AAML 87 1 0 30 Sep 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 100 1 0 26 Sep 2024
Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation Lars Nieradzik Henrike Stephani Janis Keuper FAtt AAML 65 0 0 07 Sep 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective Tal Alter Raz Lapid Moshe Sipper AAML 113 6 0 25 Aug 2024
Revisiting Min-Max Optimization Problem in Adversarial Training Sina Hajer Ahmadi Hassan Bahrami AAML 63 0 0 20 Aug 2024
Privacy-preserving Universal Adversarial Defense for Black-box Models Qiao Li Yanwei Yue Jing Chen Zijun Zhang Kun He Ruiying Du Xinxin Wang Qingchuang Zhao Yang Liu AAML 112 6 0 20 Aug 2024
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency Bhavna Gopal Huanrui Yang Jingyang Zhang Mark Horton Yiran Chen AAML 85 0 0 19 Aug 2024
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks Keiichiro Yamamura Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 84 0 0 07 Aug 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble Fudong Lin Jiadong Lou Xu Yuan Nianfeng Tzeng ViT AAML 88 2 0 22 Jul 2024
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective Zhaoxin Wang Handing Wang Cong Tian Yaochu Jin AAML 101 3 0 17 Jul 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 175 0 0 04 Jul 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models Samar Fares Klea Ziu Toluwani Aremu Nikita Durasov Martin Takáč Pascal Fua Karthik Nandakumar Ivan Laptev VLM AAML 99 5 0 13 Jun 2024
Exploring Adversarial Robustness of Deep State Space Models Biqing Qi Yang Luo Junqi Gao Pengfei Li Kai Tian Zhiyuan Ma Bowen Zhou AAML 65 1 0 08 Jun 2024
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection Yinting Wu Pai Peng Bo Cai Le Li . AAML 66 0 0 06 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification Xiuli Bi Zonglin Yang Bo Liu Xiaodong Cun Chi-Man Pun 119 0 0 05 Jun 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency Runqi Lin Chaojian Yu Bo Han Hang Su Tongliang Liu AAML 128 4 0 25 May 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models Yimeng Zhang Xin Chen Jinghan Jia Yihua Zhang Chongyu Fan Jiancheng Liu Mingyi Hong Ke Ding Sijia Liu DiffM 119 68 0 24 May 2024
High-dimensional (Group) Adversarial Training in Linear Regression Yiling Xie Xiaoming Huo 100 2 0 22 May 2024
Certification of Speaker Recognition Models to Additive Perturbations Dmitrii Korzh Elvir Karimov Mikhail Aleksandrovich Pautov Oleg Y. Rogov Ivan Oseledets 85 3 0 29 Apr 2024
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization Runqi Lin Chaojian Yu Tongliang Liu AAML 111 12 0 11 Apr 2024
One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal Perturbation Mehmet Ergezer Phat Duong Christian Green Tommy Nguyen Abdurrahman Zeybey AAML 65 3 0 02 Apr 2024
On Inherent Adversarial Robustness of Active Vision Systems Amitangshu Mukherjee Timur Ibrayev Kaushik Roy AAML 79 0 0 29 Mar 2024
Towards Understanding Dual BN In Hybrid Adversarial Training Chenshuang Zhang Chaoning Zhang Kang Zhang Axi Niu Junmo Kim In So Kweon AAML 81 1 0 28 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM Linyu Tang Lei Zhang AAML 87 5 0 18 Mar 2024
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor Jaewon Jung Hongsun Jang Jaeyong Song Jinho Lee OOD AAML 259 6 0 11 Mar 2024
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models Lin Li Haoyan Guan Jianing Qiu Michael W. Spratling AAML VLM VPVLM 99 24 0 04 Mar 2024
Catastrophic Overfitting: A Potential Blessing in Disguise Mengnan Zhao Lihe Zhang Yuqiu Kong Baocai Yin AAML 85 1 0 28 Feb 2024
Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion Yichi Zhang Zhuo Chen Lei Liang Hua-zeng Chen Wen Zhang 90 6 0 22 Feb 2024
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement Nuoyan Zhou Dawei Zhou Decheng Liu Xinbo Gao Nannan Wang AAML 83 0 0 26 Jan 2024
Efficient local linearity regularization to overcome catastrophic overfitting Elias Abad Rocamora Fanghui Liu Grigorios G. Chrysos Pablo Martínez Olmos Volkan Cevher AAML 72 6 0 21 Jan 2024
Rethinking PGD Attack: Is Sign Function Necessary? Junjie Yang Tianlong Chen Xuxi Chen Zhangyang Wang Yingbin Liang AAML 98 1 0 03 Dec 2023
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence Svetlana Pavlitska Hannes Grolig J. Marius Zöllner AAML 138 3 0 27 Nov 2023
Towards Robust and Accurate Visual Prompting Qi Li Liangzhi Li Zhouqiang Jiang Bowen Wang VPVLM VLM 64 3 0 18 Nov 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks Xiaojun Jia Jianshu Li Jindong Gu Yang Bai Xiaochun Cao AAML 69 10 0 24 Oct 2023
Learn from the Past: A Proxy Guided Adversarial Defense Framework with Self Distillation Regularization Yaohua Liu Jiaxin Gao Xianghao Jiao Zhu Liu Xin-Yue Fan Risheng Liu AAML 87 0 0 19 Oct 2023