A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies

26 March 2022

Papers citing "A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies"

33 / 33 papers shown

Title
Adversarially robust generalization theory via Jacobian regularization for deep neural networks Dongya Wu Xin Li AAML 72 0 0 17 Dec 2024
Conflict-Aware Adversarial Training Zhiyu Xue Haohan Wang Yao Qin Ramtin Pedarsani AAML 23 0 0 21 Oct 2024
Privacy-preserving Universal Adversarial Defense for Black-box Models Qiao Li Cong Wu Jing Chen Zijun Zhang Kun He Ruiying Du Xinxin Wang Qingchuang Zhao Yang Liu AAML 47 5 0 20 Aug 2024
Robust width: A lightweight and certifiable adversarial defense Jonathan Peck Bart Goossens AAML 33 1 0 24 May 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge L. Fenaux Florian Kerschbaum AAML 26 0 0 22 Feb 2024
Adversarially Robust Feature Learning for Breast Cancer Diagnosis Degan Hao Dooman Arefan M. Zuley Wendie Berg Shandong Wu OOD MedIm 20 1 0 13 Feb 2024
Tropical Decision Boundaries for Neural Networks Are Robust Against Adversarial Attacks Kurt Pasque Christopher Teska Ruriko Yoshida Keiji Miura Jefferson Huang AAML 8 2 0 01 Feb 2024
Defenses in Adversarial Machine Learning: A Survey Baoyuan Wu Shaokui Wei Mingli Zhu Meixi Zheng Zihao Zhu Mingda Zhang Hongrui Chen Danni Yuan Li Liu Qingshan Liu AAML 25 14 0 13 Dec 2023
On robust overfitting: adversarial training induced distribution matters Runzhi Tian Yongyi Mao OOD 22 1 0 28 Nov 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 28 1 0 25 Oct 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 28 0 0 21 Oct 2023
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments Simon Queyrut V. Schiavoni Pascal Felber AAML FedML 16 6 0 13 Sep 2023
MathAttack: Attacking Large Language Models Towards Math Solving Ability Zihao Zhou Qiufeng Wang Mingyu Jin Jie Yao Jianan Ye Wei Liu Wei Wang Xiaowei Huang Kaizhu Huang AAML 14 22 0 04 Sep 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning Simon Queyrut Yérom-David Bromberg V. Schiavoni FedML AAML 9 1 0 08 Aug 2023
Towards Trustworthy Dataset Distillation Shijie Ma Fei Zhu Zhen Cheng Xu-Yao Zhang DD 26 9 0 18 Jul 2023
Sample Attackability in Natural Language Adversarial Attacks Vyas Raina Mark J. F. Gales SILM 21 1 0 21 Jun 2023
Can Perturbations Help Reduce Investment Risks? Risk-Aware Stock Recommendation via Split Variational Adversarial Training Jiezhu Cheng Kaizhu Huang Zibin Zheng AAML 14 0 0 20 Apr 2023
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment Yiqing Zhang Xinming Huang Ziming Zhang 27 4 0 21 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 18 17 0 11 Mar 2023
Identifying Adversarially Attackable and Robust Samples Vyas Raina Mark J. F. Gales AAML 20 3 0 30 Jan 2023
Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization Lin Li Michael W. Spratling AAML 13 34 0 09 Dec 2022
Deep Learning for Brain Age Estimation: A Systematic Review Md. Iftekhar Tanveer M. A. Ganaie I. Beheshti Tripti Goel Nehal Ahmad Kuan-Ting Lai Kaizhu Huang Yudong Zhang Javier Del Ser Chin-Teng Lin 17 86 0 07 Dec 2022
Generalization in Neural Networks: A Broad Survey Chris Rohlfs OOD AI4CE 9 6 0 04 Sep 2022
Quantifying probabilistic robustness of tree-based classifiers against natural distortions Christoph Schweimer S. Scher 13 0 0 22 Aug 2022
A Simple Structure For Building A Robust Model Xiao Tan Jingbo Gao Ruolin Li AAML OOD 25 3 0 25 Apr 2022
Learning in High Dimension Always Amounts to Extrapolation Randall Balestriero J. Pesenti Yann LeCun 31 102 0 18 Oct 2021
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training Mohammad Azizmalayeri M. Rohban OOD 16 4 0 29 Mar 2021
An Experimental Study of Semantic Continuity for Deep Learning Models Shangxi Wu Dongyuan Lu Xian Zhao Lizhang Chen Jitao Sang 15 2 0 19 Nov 2020
Towards Robust Neural Networks via Orthogonal Diversity Kun Fang Qinghua Tao Yingwen Wu Tao Li Jia Cai Feipeng Cai Xiaolin Huang Jie-jin Yang AAML 20 8 0 23 Oct 2020
Robust Generative Adversarial Network Shufei Zhang Zhuang Qian Kaizhu Huang Jimin Xiao Yuan He 6 8 0 28 Apr 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 253 3,102 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,813 0 08 Jul 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014