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
Prior-Guided Adversarial Initialization for Fast Adversarial Training Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 25 37 0 18 Jul 2022
Adversarial Contrastive Learning via Asymmetric InfoNCE Qiying Yu Jieming Lou Xianyuan Zhan Qizhang Li W. Zuo Yang Liu Jingjing Liu AAML 28 23 0 18 Jul 2022
Certified Adversarial Robustness via Anisotropic Randomized Smoothing Hanbin Hong Yuan Hong AAML 33 5 0 12 Jul 2022
Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency Hassan Mahmood Ehsan Elhamifar AAML 11 0 0 11 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing Yijiang Pang Boyang Liu Jiayu Zhou OOD AAML 19 1 0 11 Jul 2022
One-shot Neural Backdoor Erasing via Adversarial Weight Masking Shuwen Chai Jinghui Chen AAML 27 33 0 10 Jul 2022
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy R. Olivier Bhiksha Raj AAML 29 5 0 08 Jul 2022
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 32 41 0 04 Jul 2022
Efficient Adversarial Training With Data Pruning Maximilian Kaufmann Yiren Zhao Ilia Shumailov Robert D. Mullins Nicolas Papernot AAML 30 7 0 01 Jul 2022
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems Wen-ming Hou Qianqian Xu Zhiyong Yang Shilong Bao Yuan He Qingming Huang AAML 26 5 0 24 Jun 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum Junlin Wu Yevgeniy Vorobeychik 16 21 0 21 Jun 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method Keiichiro Yamamura Haruki Sato Nariaki Tateiwa Nozomi Hata Toru Mitsutake Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 14 14 0 20 Jun 2022
DECK: Model Hardening for Defending Pervasive Backdoors Guanhong Tao Yingqi Liu Shuyang Cheng Shengwei An Zhuo Zhang Qiuling Xu Guangyu Shen Xiangyu Zhang AAML 18 7 0 18 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses Chawin Sitawarin Zachary Golan-Strieb David A. Wagner AAML 15 20 0 18 Jun 2022
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification Natalie Frank Jonathan Niles-Weed AAML 19 14 0 18 Jun 2022
Comment on Transferability and Input Transformation with Additive Noise Hoki Kim Jinseong Park Jaewook Lee AAML 16 1 0 18 Jun 2022
Catastrophic overfitting can be induced with discriminative non-robust features Guillermo Ortiz-Jiménez Pau de Jorge Amartya Sanyal Adel Bibi P. Dokania P. Frossard Grégory Rogez Philip H. S. Torr AAML 9 3 0 16 Jun 2022
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness Tianlong Chen Huan Zhang Zhenyu (Allen) Zhang Shiyu Chang Sijia Liu Pin-Yu Chen Zhangyang Wang AAML 11 11 0 15 Jun 2022
Robust SAR ATR on MSTAR with Deep Learning Models trained on Full Synthetic MOCEM data Benjamin Camus C. Barbu Eric Monteux 14 4 0 15 Jun 2022
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack Ruize Gao Jiongxiao Wang Kaiwen Zhou Feng Liu Binghui Xie Gang Niu Bo Han James Cheng AAML 18 14 0 15 Jun 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang Songtao Lu Yihua Zhang Xiangyi Chen Pin-Yu Chen Quanfu Fan Lee Martie L. Horesh Min-Fong Hong Sijia Liu OOD 24 12 0 13 Jun 2022
Lost in Transmission: On the Impact of Networking Corruptions on Video Machine Learning Models Trenton Chang Daniel Y. Fu 18 0 0 10 Jun 2022
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training Tianlong Chen Zhenyu (Allen) Zhang Sijia Liu Yang Zhang Shiyu Chang Zhangyang Wang AAML 21 8 0 09 Jun 2022
Wavelet Regularization Benefits Adversarial Training Jun Yan Huilin Yin Xiaoyang Deng Zi-qin Zhao Wancheng Ge Hao Zhang Gerhard Rigoll AAML 19 2 0 08 Jun 2022
Fast Adversarial Training with Adaptive Step Size Zhichao Huang Yanbo Fan Chen Liu Weizhong Zhang Yong Zhang Mathieu Salzmann Sabine Süsstrunk Jue Wang AAML 19 30 0 06 Jun 2022
Soft Adversarial Training Can Retain Natural Accuracy Abhijith Sharma Apurva Narayan AAML 14 2 0 04 Jun 2022
Gradient Obfuscation Checklist Test Gives a False Sense of Security Nikola Popovic D. Paudel Thomas Probst Luc Van Gool AAML 34 6 0 03 Jun 2022
FACM: Intermediate Layer Still Retain Effective Features against Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 34 0 0 02 Jun 2022
Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML OOD 19 1 0 02 Jun 2022
Robustness Evaluation and Adversarial Training of an Instance Segmentation Model Jacob Bond Andrew J. Lingg AAML 9 0 0 02 Jun 2022
RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model Hangzhi Guo Feiran Jia Jinghui Chen Anna Squicciarini A. Yadav OOD 26 7 0 01 Jun 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems Zeyan Liu Fengjun Li Jingqiang Lin Zhu Li Bo Luo AAML 15 1 0 31 May 2022
Why Adversarial Training of ReLU Networks Is Difficult? Xu Cheng Hao Zhang Yue Xin Wen Shen Jie Ren Quanshi Zhang AAML 8 3 0 30 May 2022
CalFAT: Calibrated Federated Adversarial Training with Label Skewness Chen Chen Yuchen Liu Xingjun Ma Lingjuan Lyu FedML 164 32 0 30 May 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling Mitch Hill Jonathan Mitchell Chu Chen Yuan Du M. Shah Song-Chun Zhu 14 0 0 24 May 2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free Tianlong Chen Zhenyu (Allen) Zhang Yihua Zhang Shiyu Chang Sijia Liu Zhangyang Wang AAML 46 25 0 24 May 2022
Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization Shudong Zhang Haichang Gao Tianwei Zhang Yunyi Zhou Zihui Wu AAML 18 3 0 24 May 2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models Shawn Shan Wen-Luan Ding Emily Wenger Haitao Zheng Ben Y. Zhao AAML 31 10 0 21 May 2022
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification Leo Schwinn Leon Bungert A. Nguyen René Raab Falk Pulsmeyer Doina Precup Björn Eskofier Dario Zanca OOD 48 12 0 19 May 2022
Gradient Aligned Attacks via a Few Queries Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 35 0 0 19 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 200 418 0 16 May 2022
Rethinking Classifier and Adversarial Attack Youhuan Yang Lei Sun Leyu Dai Song Guo Xiuqing Mao Xiaoqin Wang Bayi Xu AAML 22 0 0 04 May 2022
CE-based white-box adversarial attacks will not work using super-fitting Youhuan Yang Lei Sun Leyu Dai Song Guo Xiuqing Mao Xiaoqin Wang Bayi Xu AAML 29 0 0 04 May 2022
A Tale of Two Models: Constructing Evasive Attacks on Edge Models Wei Hao Aahil Awatramani Jia-Bin Hu Chengzhi Mao Pin-Chun Chen Eyal Cidon Asaf Cidon Junfeng Yang AAML 22 4 0 22 Apr 2022
Fast AdvProp Jieru Mei Yucheng Han Yutong Bai Yixiao Zhang Yingwei Li Xianhang Li Alan Yuille Cihang Xie AAML 24 8 0 21 Apr 2022
Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems Xugui Zhou Maxfield Kouzel H. Alemzadeh OOD AAML 8 12 0 20 Apr 2022
Q-TART: Quickly Training for Adversarial Robustness and in-Transferability Madan Ravi Ganesh S. Y. Sekeh Jason J. Corso AAML 21 0 0 14 Apr 2022
Defensive Patches for Robust Recognition in the Physical World Jiakai Wang Zixin Yin Pengfei Hu Aishan Liu Renshuai Tao Haotong Qin Xianglong Liu Dacheng Tao AAML 19 29 0 13 Apr 2022
Measuring the False Sense of Security Carlos Gomes AAML 19 0 0 10 Apr 2022
An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks Xinqiao Zhang Huili Chen Ke Huang F. Koushanfar AAML 27 1 0 08 Apr 2022