Fast is better than free: Revisiting adversarial training

12 January 2020

J. Zico Kolter

Papers citing "Fast is better than free: Revisiting adversarial training"

50 / 733 papers shown

Title
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM Linyu Tang Lei Zhang AAML 27 3 0 18 Mar 2024
Robust Influence-based Training Methods for Noisy Brain MRI Minh-Hao Van Alycia N. Carey Xintao Wu OOD NoLa 22 0 0 15 Mar 2024
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency Hallgrimur Thorsteinsson Valdemar J Henriksen Tong Chen Raghavendra Selvan AAML 35 1 0 14 Mar 2024
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation Tianyi Chu Wei Xing Jiafu Chen Zhizhong Wang Jiakai Sun Lei Zhao Haibo Chen Huaizhong Lin AAML 36 2 0 13 Mar 2024
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume Ping Guo Cheng Gong Xi Lin Zhiyuan Yang Qingfu Zhang AAML 26 2 0 08 Mar 2024
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models Lin Li Haoyan Guan Jianing Qiu Michael W. Spratling AAML VLM VPVLM 31 21 0 04 Mar 2024
Catastrophic Overfitting: A Potential Blessing in Disguise Mengnan Zhao Lihe Zhang Yuqiu Kong Baocai Yin AAML 39 1 0 28 Feb 2024
Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks Zhewei Wu Ruilong Yu Qihe Liu Shuying Cheng Shilin Qiu Shijie Zhou AAML 33 0 0 28 Feb 2024
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates Daniele Angioni Luca Demetrio Maura Pintor Luca Oneto Davide Anguita Battista Biggio Fabio Roli AAML 27 2 0 27 Feb 2024
Edge Detectors Can Make Deep Convolutional Neural Networks More Robust Jin Ding Jie-Chao Zhao Yong-zhi Sun Ping Tan Jia-Wei Wang Ji-en Ma You-tong Fang AAML 41 2 0 26 Feb 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial Training Yihao Zhang Hangzhou He Jingyu Zhu Huanran Chen Yifei Wang Zeming Wei AAML 29 9 0 23 Feb 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge L. Fenaux Florian Kerschbaum AAML 34 0 0 22 Feb 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training L. Park Jaeuk Kim Myung Gyo Oh Jaewoo Park T.-H. Kwon AAML 30 5 0 19 Feb 2024
Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics Wenwei Zhao Xiaowen Li Shangqing Zhao Jie Xu Yao-Hong Liu Zhuo Lu AAML 13 1 0 14 Feb 2024
Rethinking Machine Unlearning for Large Language Models Sijia Liu Yuanshun Yao Jinghan Jia Stephen Casper Nathalie Baracaldo ... Hang Li Kush R. Varshney Mohit Bansal Sanmi Koyejo Yang Liu AILaw MU 70 81 0 13 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 28 6 0 11 Feb 2024
Linearizing Models for Efficient yet Robust Private Inference Sreetama Sarkar Souvik Kundu P. Beerel AAML 13 0 0 08 Feb 2024
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons Zhenyu Liu Garrett Gagnon Swagath Venkataramani Liu Liu AAML 28 0 0 06 Feb 2024
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm Wei-Ting Yao Chengming Yu Shangzhi Zeng Jin Zhang 16 13 0 29 Jan 2024
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement Nuoyan Zhou Dawei Zhou Decheng Liu Xinbo Gao Nannan Wang AAML 27 0 0 26 Jan 2024
A Training-Free Defense Framework for Robust Learned Image Compression Myungseo Song Jinyoung Choi Bohyung Han AAML 11 4 0 22 Jan 2024
Efficient local linearity regularization to overcome catastrophic overfitting Elias Abad Rocamora Fanghui Liu Grigorios G. Chrysos Pablo Martínez Olmos V. Cevher AAML 27 6 0 21 Jan 2024
Bag of Tricks to Boost Adversarial Transferability Zeliang Zhang Rongyi Zhu Wei Yao Xiaosen Wang Chenliang Xu AAML 47 9 0 16 Jan 2024
Revisiting Adversarial Training at Scale Zeyu Wang Xianhang Li Hongru Zhu Cihang Xie 32 15 0 09 Jan 2024
FullLoRA-AT: Efficiently Boosting the Robustness of Pretrained Vision Transformers Zheng Yuan Jie M. Zhang Shiguang Shan 42 2 0 03 Jan 2024
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation Sebastian-Vasile Echim Iulian-Marius Taiatu Dumitru-Clementin Cercel Florin-Catalin Pop 23 1 0 30 Dec 2023
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 34 7 0 28 Dec 2023
Domain Generalization with Vital Phase Augmentation Ingyun Lee Wooju Lee Hyun Myung OOD 21 3 0 27 Dec 2023
Universal Pyramid Adversarial Training for Improved ViT Performance Ping Yeh-Chiang Yipin Zhou Omid Poursaeed S. Narayan Shukla Tom Goldstein Ser-Nam Lim AAML ViT 16 0 0 26 Dec 2023
Detection and Defense of Unlearnable Examples Yifan Zhu Lijia Yu Xiao-Shan Gao AAML 19 7 0 14 Dec 2023
$Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks$ Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 37 4 0 14 Dec 2023
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training Qian Li Yuxiao Hu Yinpeng Dong Dong-juan Zhang Yuntian Chen AAML 34 3 0 12 Dec 2023
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks Thomas Paniagua Ryan Grainger Tianfu Wu AAML 27 0 0 12 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 35 0 0 08 Dec 2023
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection Xiaohu Lu H. Radha AAML 3DPC 31 0 0 05 Dec 2023
Generating Visually Realistic Adversarial Patch Xiaosen Wang Kunyu Wang AAML 21 0 0 05 Dec 2023
Rethinking PGD Attack: Is Sign Function Necessary? Junjie Yang Tianlong Chen Xuxi Chen Zhangyang Wang Yingbin Liang AAML 28 1 0 03 Dec 2023
Improving Adversarial Transferability via Model Alignment A. Ma Amir-massoud Farahmand Yangchen Pan Philip H. S. Torr Jindong Gu AAML 28 5 0 30 Nov 2023
Topology-Preserving Adversarial Training Xiaoyue Mi Fan Tang Yepeng Weng Danding Wang Juan Cao Sheng Tang Peng Li Yang Liu 51 1 0 29 Nov 2023
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model AprilPyone Maungmaung Isao Echizen Hitoshi Kiya VLM AAML 26 0 0 28 Nov 2023
Rethinking Mixup for Improving the Adversarial Transferability Xiaosen Wang Zeyuan Yin AAML 23 2 0 28 Nov 2023
Instruct2Attack: Language-Guided Semantic Adversarial Attacks Jiang-Long Liu Chen Wei Yuxiang Guo Heng Yu Alan L. Yuille S. Feizi Chun Pong Lau Rama Chellappa DiffM AAML 27 5 0 27 Nov 2023
Adversarial Purification of Information Masking Sitong Liu Z. Lian Shuangquan Zhang Liang Xiao AAML 20 0 0 26 Nov 2023
Adversarial Prompt Tuning for Vision-Language Models Jiaming Zhang Xingjun Ma Xin Wang Lingyu Qiu Jiaqi Wang Yu-Gang Jiang Jitao Sang AAML VPVLM VLM 23 18 0 19 Nov 2023
Towards Robust and Accurate Visual Prompting Qi Li Liangzhi Li Zhouqiang Jiang Bowen Wang VPVLM VLM 13 3 0 18 Nov 2023
Adversarially Robust Spiking Neural Networks Through Conversion Ozan Özdenizci R. Legenstein AAML 38 8 0 15 Nov 2023
On the Robustness of Neural Collapse and the Neural Collapse of Robustness Jingtong Su Ya Shi Zhang Nikolaos Tsilivis Julia Kempe AAML 29 4 0 13 Nov 2023
Equal Opportunity of Coverage in Fair Regression Fangxin Wang Lu Cheng Ruocheng Guo Kay Liu Philip S. Yu 19 14 0 03 Nov 2023
Universal Perturbation-based Secret Key-Controlled Data Hiding Donghua Wang Wenbiao Yao Tingsong Jiang Xiaoqian Chen AAML 17 0 0 03 Nov 2023
Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods Mahdi Salmani Alireza Dehghanpour Farashah Mohammad Azizmalayeri Mahdi Amiri Navid Eslami M. T. Manzuri M. Rohban AAML 21 1 0 29 Oct 2023