Randomized Adversarial Training via Taylor Expansion

19 March 2023

Papers citing "Randomized Adversarial Training via Taylor Expansion"

24 / 24 papers shown

Title
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation Yi Yu Song Xia Xun Lin Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex C. Kot AAML SILM 98 0 0 20 Apr 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 118 0 0 09 Mar 2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness Olukorede Fakorede Modeste Atsague Jin Tian AAML 32 0 0 31 Dec 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 21 0 0 19 Oct 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors Tao Lin Lijia Yu Gaojie Jin Renjue Li Peng Wu Lijun Zhang AAML 25 1 0 14 Oct 2024
Adversarial Robustness Overestimation and Instability in TRADES Jonathan Weiping Li Ren-Wei Liang Cheng-Han Yeh Cheng-Chang Tsai Kuanchun Yu Chun-Shien Lu Shang-Tse Chen AAML 36 0 0 10 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 50 5 0 20 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 21 1 0 31 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 52 0 0 04 Jul 2024
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks Min Ren Yunlong Wang Yuhao Zhu Yongzhen Huang Zhenan Sun Qi Li Tieniu Tan 35 2 0 26 Jun 2024
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective Wanqi Zhou Shuanghao Bai Qibin Zhao Badong Chen VLM AAML 39 5 0 30 Apr 2024
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape Tiejin Chen Wenwang Huang Linsey Pang Dongsheng Luo Hua Wei OOD 31 0 0 09 Mar 2024
Towards Fairness-Aware Adversarial Learning Yanghao Zhang Tianle Zhang Ronghui Mu Xiaowei Huang Wenjie Ruan 24 4 0 27 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 27 14 0 13 Dec 2023
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training Qian Li Yuxiao Hu Yinpeng Dong Dong-juan Zhang Yuntian Chen AAML 19 3 0 12 Dec 2023
Reward Certification for Policy Smoothed Reinforcement Learning Ronghui Mu Leandro Soriano Marcolino Tianle Zhang Yanghao Zhang Xiaowei Huang Wenjie Ruan 15 4 0 11 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 48 2 0 06 Dec 2023
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models Liang Zhang Nathaniel Xu Pengfei Yang Gao Jin Cheng-Chao Huang Lijun Zhang 21 8 0 11 Aug 2023
Post-train Black-box Defense via Bayesian Boundary Correction He-Nan Wang Yunfeng Diao AAML 31 1 0 29 Jun 2023
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability Wei Huang Xingyu Zhao Gao Jin Xiaowei Huang AAML 17 28 0 19 Aug 2022
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 151 113 0 05 Mar 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 105 146 0 06 Nov 2019
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets Yogesh Balaji Tom Goldstein Judy Hoffman AAML 124 102 0 17 Oct 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016