Geometry-aware Instance-reweighted Adversarial Training

5 October 2020

Bo Han

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

50 / 182 papers shown

Title
Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs Zhakshylyk Nurlanov Frank R. Schmidt Florian Bernard OOD 24 0 0 24 Jul 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness M. K. Yucel R. G. Cinbis Pinar Duygulu AAML 38 10 0 21 Jul 2023
Towards Building More Robust Models with Frequency Bias Qingwen Bu Dong Huang Heming Cui AAML 15 10 0 19 Jul 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 10 9 0 14 Jul 2023
Vulnerability-Aware Instance Reweighting For Adversarial Training Olukorede Fakorede Ashutosh Nirala Modeste Atsague Jin Tian AAML 12 2 0 14 Jul 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 22 1 0 29 Jun 2023
Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation Shiji Zhao Xizhe Wang Xingxing Wei AAML 40 8 0 28 Jun 2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning Hong Joo Lee Yonghyun Ro AAML 19 3 0 27 Jun 2023
Advancing Adversarial Training by Injecting Booster Signal Hong Joo Lee Youngjoon Yu Yonghyun Ro AAML 14 3 0 27 Jun 2023
Enhancing Adversarial Training via Reweighting Optimization Trajectory Tianjin Huang Shiwei Liu Tianlong Chen Meng Fang Lijuan Shen Vlaod Menkovski Lu Yin Yulong Pei Mykola Pechenizkiy AAML 22 4 0 25 Jun 2023
Revisiting and Advancing Adversarial Training Through A Simple Baseline Hong Liu AAML 24 0 0 13 Jun 2023
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters Xingxing Wei Shiji Zhao Bo li AAML 34 4 0 06 Jun 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 34 49 0 18 May 2023
Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks Jingfeng Zhang Bo Song Bo Han Lei Liu Gang Niu Masashi Sugiyama AAML 11 2 0 30 Apr 2023
Towards Adversarially Robust Continual Learning Tao Bai Chen Chen Lingjuan Lyu Jun Zhao B. Wen AAML 16 8 0 31 Mar 2023
Latent Feature Relation Consistency for Adversarial Robustness Xingbin Liu Huafeng Kuang Hong Liu Xianming Lin Yongjian Wu Rongrong Ji AAML 16 3 0 29 Mar 2023
CFA: Class-wise Calibrated Fair Adversarial Training Zeming Wei Yifei Wang Yiwen Guo Yisen Wang AAML 42 49 0 25 Mar 2023
Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing Lin Li Michael W. Spratling AAML 59 4 0 24 Mar 2023
PIAT: Parameter Interpolation based Adversarial Training for Image Classification Kun He Xin Liu Yichen Yang Zhou Qin Weigao Wen Hui Xue J. Hopcroft AAML 22 0 0 24 Mar 2023
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense B. Le Shahroz Tariq Simon S. Woo AAML 21 0 0 21 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 36 34 0 19 Mar 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance Amine Bennouna Ryan Lucas Bart P. G. Van Parys 30 10 0 03 Mar 2023
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning Jianing Zhu Jiangchao Yao Tongliang Liu Quanming Yao Jianliang Xu Bo Han FedML 35 5 0 01 Mar 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Bo-wen Li Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 30 34 0 19 Feb 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Yunke Wang Bo Du Chang Xu 21 8 0 13 Feb 2023
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness Yuancheng Xu Yanchao Sun Micah Goldblum Tom Goldstein Furong Huang AAML 23 37 0 06 Feb 2023
Towards Estimating Transferability using Hard Subsets Tarun Ram Menta Surgan Jandial A. Patil K.U. Vimal Saketh Bachu Balaji Krishnamurthy V. Balasubramanian Chirag Agarwal Mausoom Sarkar 15 0 0 17 Jan 2023
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure Xiaoling Zhou Ou Wu Weiyao Zhu Ziyang Liang 25 2 0 12 Jan 2023
Phase-shifted Adversarial Training Yeachan Kim Seongyeon Kim Ihyeok Seo Bonggun Shin AAML OOD 24 0 0 12 Jan 2023
Data Valuation Without Training of a Model Nohyun Ki Hoyong Choi Hye Won Chung TDI 10 31 0 03 Jan 2023
Confidence-aware Training of Smoothed Classifiers for Certified Robustness Jongheon Jeong Seojin Kim Jinwoo Shin AAML 19 7 0 18 Dec 2022
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks Nikolaos Antoniou Efthymios Georgiou Alexandros Potamianos AAML 27 5 0 15 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions Chih-Hui Ho Nuno Vasconcelos AAML 21 38 0 11 Dec 2022
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles Shengcai Liu Fu Peng Ke Tang AAML 31 11 0 23 Nov 2022
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training Junhao Dong Seyed-Mohsen Moosavi-Dezfooli Jianhuang Lai Xiaohua Xie AAML 35 28 0 01 Nov 2022
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks Jianan Zhou Jianing Zhu Jingfeng Zhang Tongliang Liu Gang Niu Bo Han Masashi Sugiyama AAML 11 9 0 01 Nov 2022
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting Peng-Fei Hou Jie Han Xingyu Li AAML OOD 16 11 0 26 Oct 2022
Learning Sample Reweighting for Accuracy and Adversarial Robustness Chester Holtz Tsui-Wei Weng Gal Mishne OOD 24 4 0 20 Oct 2022
Robust Models are less Over-Confident Julia Grabinski Paul Gavrikov J. Keuper M. Keuper AAML 28 24 0 12 Oct 2022
Adversarial Lagrangian Integrated Contrastive Embedding for Limited Size Datasets Amin Jalali Minho Lee 18 8 0 06 Oct 2022
Strength-Adaptive Adversarial Training Chaojian Yu Dawei Zhou Li Shen Jun Yu Bo Han Mingming Gong Nannan Wang Tongliang Liu OOD 17 2 0 04 Oct 2022
Improving Robustness with Adaptive Weight Decay Amin Ghiasi Ali Shafahi R. Ardekani OOD 17 7 0 30 Sep 2022
Fair Robust Active Learning by Joint Inconsistency Tsung-Han Wu Hung-Ting Su Shang-Tse Chen Winston H. Hsu AAML 16 1 0 22 Sep 2022
Improving Robust Fairness via Balance Adversarial Training Chunyu Sun Chenye Xu Chengyuan Yao Siyuan Liang Yichao Wu Ding Liang XiangLong Liu Aishan Liu 23 11 0 15 Sep 2022
TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack Yanyun Wang Dehui Du Haibo Hu Zi Liang Yuanhao Liu AAML AI4TS 25 1 0 14 Sep 2022
Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training Zihui Wu Haichang Gao Bingqian Zhou Xiaoyan Guo Shudong Zhang AAML 15 0 0 26 Aug 2022
Attacking Adversarial Defences by Smoothing the Loss Landscape Panagiotis Eustratiadis H. Gouk Da Li Timothy M. Hospedales AAML 14 4 0 01 Aug 2022
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training Sekitoshi Kanai Shinýa Yamaguchi Masanori Yamada Hiroshi Takahashi Kentaro Ohno Yasutoshi Ida AAML 14 7 0 21 Jul 2022
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems Wen-ming Hou Qianqian Xu Zhiyong Yang Shilong Bao Yuan He Qingming Huang AAML 26 5 0 24 Jun 2022
InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 35 16 0 23 Jun 2022