Low Curvature Activations Reduce Overfitting in Adversarial Training

15 February 2021

Papers citing "Low Curvature Activations Reduce Overfitting in Adversarial Training"

32 / 32 papers shown

Title
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 44 2 0 08 Jan 2025
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 23 0 0 19 Oct 2024
Characterizing Model Robustness via Natural Input Gradients Adrian Rodriguez-Munoz Tongzhou Wang Antonio Torralba AAML 25 1 0 30 Sep 2024
Are Sparse Neural Networks Better Hard Sample Learners? Q. Xiao Boqian Wu Lu Yin Christopher Neil Gadzinski Tianjin Huang Mykola Pechenizkiy D. Mocanu 33 1 0 13 Sep 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
Towards unlocking the mystery of adversarial fragility of neural networks Jingchao Gao Raghu Mudumbai Xiaodong Wu Jirong Yi Catherine Xu Hui Xie Weiyu Xu 28 1 0 23 Jun 2024
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification Sajjad Amini Mohammadreza Teymoorianfard Shiqing Ma Amir Houmansadr OOD AAML 19 6 0 09 Jun 2024
Compositional Curvature Bounds for Deep Neural Networks Taha Entesari Sina Sharifi Mahyar Fazlyab AAML 29 0 0 07 Jun 2024
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models Kaikang Zhao Xi Chen Wei Huang Liuxin Ding Xianglong Kong Fan Zhang AAML 36 1 0 25 Mar 2024
Efficient local linearity regularization to overcome catastrophic overfitting Elias Abad Rocamora Fanghui Liu Grigorios G. Chrysos Pablo Martínez Olmos V. Cevher AAML 22 6 0 21 Jan 2024
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting Hao Li Gopi Krishnan Rajbahadur Dayi Lin C. Bezemer Zhen Ming Jiang Jiang 20 24 0 18 Jan 2024
Understanding the Role of Optimization in Double Descent Chris Liu Jeffrey Flanigan 24 0 0 06 Dec 2023
A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System Xinwei Yuan Shu Han Wei Huang Hongliang Ye Xianglong Kong Fan Zhang AAML 15 21 0 06 Dec 2023
On robust overfitting: adversarial training induced distribution matters Runzhi Tian Yongyi Mao OOD 28 1 0 28 Nov 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 17 4 0 25 Jun 2023
Data Augmentation Alone Can Improve Adversarial Training Lin Li Michael W. Spratling 16 49 0 24 Jan 2023
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective Shihua Huang Zhichao Lu Kalyanmoy Deb Vishnu Naresh Boddeti OOD 19 40 0 21 Dec 2022
Towards More Robust Interpretation via Local Gradient Alignment Sunghwan Joo Seokhyeon Jeong Juyeon Heo Adrian Weller Taesup Moon FAtt 25 5 0 29 Nov 2022
Bag of Tricks for FGSM Adversarial Training Zichao Li Li Liu Zeyu Wang Yuyin Zhou Cihang Xie AAML 14 6 0 06 Sep 2022
Fast Multi-grid Methods for Minimizing Curvature Energy Zhenwei Zhang Ke Chen Ke Tang Yuping Duan 16 8 0 17 Apr 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning Mathias Lechner Alexander Amini Daniela Rus T. Henzinger AAML 16 9 0 15 Apr 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min-Bin Lin Xiao Yang Junyi Zhu Shuicheng Yan 14 119 0 21 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu (Allen) Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 77 46 0 20 Feb 2022
LinSyn: Synthesizing Tight Linear Bounds for Arbitrary Neural Network Activation Functions Brandon Paulsen Chao Wang AAML 28 14 0 31 Jan 2022
Parameterizing Activation Functions for Adversarial Robustness Sihui Dai Saeed Mahloujifar Prateek Mittal AAML 26 32 0 11 Oct 2021
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting Chengyu Dong Liyuan Liu Jingbo Shang NoLa AAML 48 18 0 07 Oct 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 19 65 0 09 Apr 2021
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks Wei-An Lin Chun Pong Lau Alexander Levine Ramalingam Chellappa S. Feizi AAML 74 60 0 05 Sep 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 151 113 0 05 Mar 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 222 1,832 0 03 Feb 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016
Safety Verification of Deep Neural Networks Xiaowei Huang M. Kwiatkowska Sen Wang Min Wu AAML 178 929 0 21 Oct 2016