Geometry-aware Instance-reweighted Adversarial Training

5 October 2020

Bo Han

Papers citing "Geometry-aware Instance-reweighted Adversarial Training"

50 / 182 papers shown

Title
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 34 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 61 0 0 06 Mar 2025
DDAD: A Two-pronged Adversarial Defense Based on Distributional Discrepancy Jiacheng Zhang Benjamin I. P. Rubinstein J. Zhang Feng Liu 69 0 0 04 Mar 2025
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions Wang YuHang Junkang Guo Aolei Liu Kaihao Wang Zaitong Wu Zhenyu Liu Wenfei Yin Jian Liu AAML 48 0 0 02 Mar 2025
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation Guang Lin D. Nguyen Zerui Tao Konstantinos Slavakis Toshihisa Tanaka Qibin Zhao AAML 59 0 0 25 Feb 2025
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining Daouda Sow Herbert Woisetschläger Saikiran Bulusu Shiqiang Wang Hans-Arno Jacobsen Yingbin Liang 59 0 0 10 Feb 2025
Improving the Efficiency of Self-Supervised Adversarial Training through Latent Clustering-Based Selection Somrita Ghosh Yuelin Xu Xiao Zhang AAML OOD 45 0 0 15 Jan 2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness Olukorede Fakorede Modeste Atsague Jin Tian AAML 37 0 0 31 Dec 2024
Adversarial Training in Low-Label Regimes with Margin-Based Interpolation Tian Ye R. Kannan Viktor Prasanna AAML 61 0 0 27 Nov 2024
CausAdv: A Causal-based Framework for Detecting Adversarial Examples Hichem Debbi CML AAML 34 1 0 29 Oct 2024
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 18 0 0 16 Oct 2024
Collaboration! Towards Robust Neural Methods for Routing Problems Jianan Zhou Yaoxin Wu Zhiguang Cao Wen Song Jie Zhang Zhiqi Shen AAML 23 3 0 07 Oct 2024
Towards Universal Certified Robustness with Multi-Norm Training Enyi Jiang Gagandeep Singh Gagandeep Singh AAML 55 1 0 03 Oct 2024
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation Tsung-Han Wu Hung-Ting Su Shang-Tse Chen Winston H. Hsu 26 1 0 19 Sep 2024
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification Geigh Zollicoffer Minh Vu Ben Nebgen Juan Castorena Boian S. Alexandrov Manish Bhattarai 27 2 0 12 Sep 2024
TART: Boosting Clean Accuracy Through Tangent Direction Guided Adversarial Training Bongsoo Yi Rongjie Lai Yao Li AAML 33 0 0 27 Aug 2024
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks Zhenyu Liu Haoran Duan Huizhi Liang Yang Long V. Snás̃el G. Nicosia R. Ranjan Varun Ojha AAML 35 0 0 23 Aug 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information Mingkun Zhang Jianing Li Wei Chen Jiafeng Guo Xueqi Cheng 37 6 0 12 Aug 2024
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter Chao Liu Xin Liu Zi-jian Yu Yonghong Hou Huanjing Yue Jingyu Yang AAML 30 0 0 29 Jul 2024
Shedding More Light on Robust Classifiers under the lens of Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Senad Beadini I. Masi AAML 28 1 0 08 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 34 0 0 26 Jun 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 28 0 0 20 Jun 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness Kejia Zhang Juanjuan Weng Junwei Wu Guoqing Yang Shaozi Li Zhiming Luo AAML 38 1 0 17 Jun 2024
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training Jiacheng Zhang Feng Liu Dawei Zhou Jingfeng Zhang Tongliang Liu AAML 38 2 0 02 Jun 2024
ASAM: Boosting Segment Anything Model with Adversarial Tuning Bo Li Haoke Xiao Lv Tang 27 9 0 01 May 2024
On adversarial training and the 1 Nearest Neighbor classifier Amir Hagai Yair Weiss AAML 50 0 0 09 Apr 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 34 5 0 01 Apr 2024
Adversarial Guided Diffusion Models for Adversarial Purification Guang Lin Zerui Tao Jianhai Zhang Toshihisa Tanaka Qibin Zhao 27 6 0 24 Mar 2024
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation Kyohoon Jin Junho Lee Juhwan Choi Sangmin Song Youngbin Kim 32 0 0 22 Mar 2024
Revisiting Adversarial Training under Long-Tailed Distributions Xinli Yue Ningping Mou Qian Wang Lingchen Zhao AAML 31 7 0 15 Mar 2024
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement Daiwei Yu Zhuorong Li Lina Wei Canghong Jin Yun Zhang Sixian Chan 35 5 0 14 Mar 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training L. Park Jaeuk Kim Myung Gyo Oh Jaewoo Park T.-H. Kwon AAML 30 5 0 19 Feb 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations Enyi Jiang Gagandeep Singh AAML 30 1 0 09 Feb 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization Guang Lin Chao Li Jianhai Zhang Toshihisa Tanaka Qibin Zhao 31 13 0 29 Jan 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training Shruthi Gowda Bahram Zonooz Elahe Arani AAML 28 2 0 26 Jan 2024
Robustness Against Adversarial Attacks via Learning Confined Adversarial Polytopes Shayan Mohajer Hamidi Linfeng Ye AAML 30 2 0 15 Jan 2024
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 54 3 0 15 Dec 2023
Rethinking PGD Attack: Is Sign Function Necessary? Junjie Yang Tianlong Chen Xuxi Chen Zhangyang Wang Yingbin Liang AAML 28 1 0 03 Dec 2023
Topology-Preserving Adversarial Training Xiaoyue Mi Fan Tang Yepeng Weng Danding Wang Juan Cao Sheng Tang Peng Li Yang Liu 49 1 0 29 Nov 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 30 1 0 25 Oct 2023
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks Yue Cao Tianlin Li Xiaofeng Cao Ivor Tsang Yang Liu Qing-Wu Guo AAML 21 2 0 18 Oct 2023
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach Shaopeng Fu Di Wang AAML 28 1 0 09 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 13 11 0 29 Sep 2023
Outlier Robust Adversarial Training Shu Hu Zhenhuan Yang X. Wang Yiming Ying Siwei Lyu AAML 29 9 0 10 Sep 2023
Advancing Adversarial Robustness Through Adversarial Logit Update Hao Xuan Peican Zhu Xingyu Li AAML 16 0 0 29 Aug 2023
Adversarial Training Using Feedback Loops Ali Haisam Muhammad Rafid Adrian Sandu AAML 11 0 0 23 Aug 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation Dongyoon Yang Insung Kong Yongdai Kim 23 4 0 08 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
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning Kaijie Zhu Jindong Wang Xixu Hu Xingxu Xie G. Yang AAML 22 23 0 01 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 33 2 0 01 Aug 2023