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
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Shashank Agnihotri Amaan Ansari Annika Dackermann Fabian Rösch M. Keuper 48 0 0 08 May 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei Ke Ma Yingfei Sun Qianqian Xu Q. Huang DiffM 40 0 0 02 May 2025
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation Meixi Zheng Kehan Wu Yanbo Fan Rui Huang Baoyuan Wu AAML 32 0 0 23 Apr 2025
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos Songping Wang Hanqing Liu Yueming Lyu Xiantao Hu Ziwen He W. Wang Caifeng Shan L. Wang AAML 78 0 0 21 Apr 2025
DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering Yexing Xu Longguang Wang Minglin Chen Sheng Ao Li Li Yulan Guo 29 0 0 13 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 34 0 0 11 Apr 2025
Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang ... Ling Xiong Hongbin Liang Heming Cui Yong Cui Yue Gao AAML 53 2 0 26 Mar 2025
State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang Zekai Sun Ling Xiong Hongbin Liang Heming Cui Yong Cui AAML 82 1 0 26 Mar 2025
Interpretable Generative Models through Post-hoc Concept Bottlenecks Akshay Kulkarni Ge Yan Chung-En Sun Tuomas P. Oikarinen Tsui-Wei Weng 42 0 0 25 Mar 2025
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 43 0 0 21 Mar 2025
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach João B. S. Carvalho Alessandro Torcinovich Victor Jimenez Rodriguez Antonio Emanuele Cinà Carlos Cotrini Lea Schönherr J. M. Buhmann OOD 63 0 0 20 Mar 2025
Boosting the Local Invariance for Better Adversarial Transferability Bohan Liu Xiaosen Wang AAML 60 0 0 08 Mar 2025
Generalizable Image Repair for Robust Visual Autonomous Racing Carson Sobolewski Zhenjiang Mao Kshitij Vejre Ivan Ruchkin 50 0 0 07 Mar 2025
CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP Songlong Xing Zhengyu Zhao N. Sebe AAML 62 0 0 05 Mar 2025
DDAD: A Two-pronged Adversarial Defense Based on Distributional Discrepancy Jiacheng Zhang Benjamin I. P. Rubinstein J. Zhang Feng Liu 69 0 0 04 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 43 0 0 02 Mar 2025
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing Xuyang Zhong Yixiao Huang Chen Liu AAML 41 0 0 28 Feb 2025
Adversarial Robustness in Parameter-Space Classifiers Tamir Shor Ethan Fetaya Chaim Baskin A. Bronstein AAML OOD 141 0 0 27 Feb 2025
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation Guang Lin D. Nguyen Zerui Tao Konstantinos Slavakis Toshihisa Tanaka Qibin Zhao AAML 57 0 0 25 Feb 2025
Unified Prompt Attack Against Text-to-Image Generation Models Duo Peng Qiuhong Ke Mark He Huang Ping Hu J. Liu 43 0 0 23 Feb 2025
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection Dongsu Song Daehwa Ko Jay Hoon Jung AAML 62 0 0 10 Feb 2025
Democratic Training Against Universal Adversarial Perturbations Bing-Jie Sun Jun Sun Wei Zhao AAML 57 0 0 08 Feb 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework Ping Guo Cheng Gong Xi Victoria Lin Fei Liu Zhichao Lu Qingfu Zhang Zhenkun Wang AAML 41 0 0 13 Jan 2025
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 44 2 0 08 Jan 2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness Olukorede Fakorede Modeste Atsague Jin Tian AAML 37 0 0 31 Dec 2024
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification Chunheng Zhao P. Pisu G. Comert N. Begashaw Varghese Vaidyan Nina Christine Hubig AAML 24 0 0 31 Dec 2024
Learning Robust and Privacy-Preserving Representations via Information Theory Binghui Zhang Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 64 0 0 15 Dec 2024
GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing Khawar Islam M. Zaheer Arif Mahmood Karthik Nandakumar Naveed Akhtar DiffM 77 2 0 03 Dec 2024
Adversarial Attacks on Hyperbolic Networks Max van Spengler Jan Zahálka Pascal Mettes AAML OOD 94 0 0 02 Dec 2024
Learning Fair Robustness via Domain Mixup Meiyu Zhong Ravi Tandon OOD 72 0 0 21 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 48 1 0 05 Nov 2024
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs Xiaoqing Chen Ziwei Wang Dongrui Wu AAML 36 9 0 04 Nov 2024
Achieving Domain-Independent Certified Robustness via Knowledge Continuity Alan Sun Chiyu Ma Kenneth Ge Soroush Vosoughi 36 0 0 03 Nov 2024
On the Robustness of Adversarial Training Against Uncertainty Attacks Emanuele Ledda Giovanni Scodeller Daniele Angioni Giorgio Piras Antonio Emanuele Cinà Giorgio Fumera Battista Biggio Fabio Roli AAML 28 1 0 29 Oct 2024
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization Diana Pfau Alexander Jung 26 0 0 25 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
Low-Rank Adversarial PGD Attack Dayana Savostianova Emanuele Zangrando Francesco Tudisco AAML 23 0 0 16 Oct 2024
On the Adversarial Transferability of Generalized "Skip Connections" Yisen Wang Yichuan Mo Dongxian Wu Mingjie Li Xingjun Ma Zhouchen Lin AAML 21 2 0 11 Oct 2024
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning Nusrat Jahan Prottasha Asif Mahmud Md. Shohanur Islam Sobuj Prakash Bhat Md. Kowsher Niloofar Yousefi O. Garibay 30 4 0 11 Oct 2024
Understanding Adversarially Robust Generalization via Weight-Curvature Index Yuelin Xu Xiao Zhang AAML 27 0 0 10 Oct 2024
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models Kangtao Lv Huangsen Cao Kainan Tu Yihuai Xu Zhimeng Zhang Xin Ding Yongwei Wang MoMe AAML VLM 19 1 0 08 Oct 2024
One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability Gabriel Kasmi Amandine Brunetto Thomas Fel Jayneel Parekh AAML FAtt 25 0 0 02 Oct 2024
On Using Certified Training towards Empirical Robustness Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 33 1 0 02 Oct 2024
SMLE: Safe Machine Learning via Embedded Overapproximation Matteo Francobaldi Michele Lombardi AAML 25 0 0 30 Sep 2024
Characterizing Model Robustness via Natural Input Gradients Adrian Rodriguez-Munoz Tongzhou Wang Antonio Torralba AAML 33 1 0 30 Sep 2024
Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises Anubhooti Jain Susim Roy Kwanit Gupta Mayank Vatsa Richa Singh AAML 20 0 0 29 Sep 2024
Robust Network Learning via Inverse Scale Variational Sparsification Zhiling Zhou Zirui Liu Chengming Xu Yanwei Fu Xinwei Sun AAML 27 0 0 27 Sep 2024
Improving Fast Adversarial Training via Self-Knowledge Guidance Chengze Jiang Junkai Wang Minjing Dong Jie Gui Xinli Shi Yuan Cao Yuan Yan Tang James Tin-Yau Kwok 29 1 0 26 Sep 2024
Hidden Activations Are Not Enough: A General Approach to Neural Network Predictions Samuel Leblanc Aiky Rasolomanana Marco Armenta 25 0 0 20 Sep 2024
Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach Nastaran Darabi Dinithi Jayasuriya Devashri Naik Theja Tulabandhula Amit Ranjan Trivedi AAML 37 2 0 19 Sep 2024