Removing Batch Normalization Boosts Adversarial Training

4 July 2022

Papers citing "Removing Batch Normalization Boosts Adversarial Training"

24 / 24 papers shown

Title
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision Xiaofeng Mao YueFeng Chen Rong Zhang Hui Xue Zhao Li Hang Su AAML VLM 41 0 0 21 Mar 2025
AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs Francisco Caetano Christiaan G. A. Viviers Lena Filatova Peter H. N. de With Fons van der Sommen AAML MedIm 39 0 0 23 Feb 2025
Conflict-Aware Adversarial Training Zhiyu Xue Haohan Wang Yao Qin Ramtin Pedarsani AAML 23 0 0 21 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 0 0 19 Oct 2024
Audio Codec Augmentation for Robust Collaborative Watermarking of Speech Synthesis Lauri Juvela Xin Eric Wang 26 2 0 20 Sep 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble Fudong Lin Jiadong Lou Xu Yuan Nianfeng Tzeng ViT AAML 25 1 0 22 Jul 2024
Revealing Vulnerabilities of Neural Networks in Parameter Learning and Defense Against Explanation-Aware Backdoors Md Abdul Kadir G. Addluri Daniel Sonntag AAML 28 0 0 25 Mar 2024
Adversarially Robust Spiking Neural Networks Through Conversion Ozan Özdenizci R. Legenstein AAML 30 8 0 15 Nov 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 32 4 0 03 Oct 2023
Collaborative Watermarking for Adversarial Speech Synthesis Lauri Juvela Xin Wang 32 12 0 26 Sep 2023
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods A. Ma Yangchen Pan Amir-massoud Farahmand AAML 25 5 0 13 Aug 2023
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples Shaokui Wei Mingda Zhang H. Zha Baoyuan Wu TPM 18 34 0 20 Jul 2023
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization Yulong Yang Chenhao Lin Qian Li Zhengyu Zhao Haoran Fan Dawei Zhou Nannan Wang Tongliang Liu Chao Shen AAML MQ 24 12 0 10 May 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang Ziyu Jiang Yuning You Yan Han Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Zhangyang Wang 19 28 0 06 Apr 2023
Feature Separation and Recalibration for Adversarial Robustness Woo Jae Kim Y. Cho Junsik Jung Sung-eui Yoon AAML 36 18 0 24 Mar 2023
Improving the Robustness of Deep Convolutional Neural Networks Through Feature Learning Jin Ding Jie-Chao Zhao Yongyang Sun Ping Tan Ji-en Ma You-tong Fang AAML 16 1 0 11 Mar 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition Luke E. Richards Edward Raff Cynthia Matuszek AAML 16 2 0 17 Feb 2023
Uncovering Adversarial Risks of Test-Time Adaptation Tong Wu Feiran Jia Xiangyu Qi Jiachen T. Wang Vikash Sehwag Saeed Mahloujifar Prateek Mittal AAML TTA 18 9 0 29 Jan 2023
Revisiting adapters with adversarial training Sylvestre-Alvise Rebuffi Francesco Croce Sven Gowal AAML 31 16 0 10 Oct 2022
Dynamical Isometry for Residual Networks Advait Gadhikar R. Burkholz ODL AI4CE 29 2 0 05 Oct 2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition Haotao Wang Aston Zhang Yi Zhu Shuai Zheng Mu Li Alexander J. Smola Zhangyang Wang OODD 138 48 0 04 Jul 2022
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training Mohammad Azizmalayeri M. Rohban OOD 24 4 0 29 Mar 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 223 512 0 11 Feb 2021
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,833 0 08 Jul 2016