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
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network Byung-Kwan Lee Junho Kim Y. Ro AAML 15 18 0 06 Apr 2022
Efficient Test-Time Model Adaptation without Forgetting Shuaicheng Niu Jiaxiang Wu Yifan Zhang Yaofo Chen S. Zheng P. Zhao Mingkui Tan OOD VLM TTA 28 311 0 06 Apr 2022
Adversarial Robustness through the Lens of Convolutional Filters Paul Gavrikov J. Keuper 38 15 0 05 Apr 2022
FrequencyLowCut Pooling -- Plug & Play against Catastrophic Overfitting Julia Grabinski Steffen Jung J. Keuper M. Keuper AAML 16 22 0 01 Apr 2022
Adversarial Examples in Random Neural Networks with General Activations Andrea Montanari Yuchen Wu GAN AAML 82 13 0 31 Mar 2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang Weibin Wu Jen-tse Huang Yizhan Huang Wenxuan Wang Yuxin Su Michael R. Lyu AAML 45 130 0 31 Mar 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Paul Gavrikov J. Keuper AAML 24 31 0 29 Mar 2022
Core Risk Minimization using Salient ImageNet Sahil Singla Mazda Moayeri S. Feizi 30 14 0 28 Mar 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang Yuguang Yao Jinghan Jia Jinfeng Yi Min-Fong Hong Shiyu Chang Sijia Liu AAML 26 33 0 27 Mar 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations Yifan Gong Yuguang Yao Yize Li Yimeng Zhang Xiaoming Liu X. Lin Sijia Liu AAML 44 20 0 26 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 49 72 0 26 Mar 2022
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness Giulio Lovisotto Nicole Finnie Mauricio Muñoz Chaithanya Kumar Mummadi J. H. Metzen AAML ViT 30 32 0 25 Mar 2022
On Adversarial Robustness of Large-scale Audio Visual Learning Juncheng Billy Li Shuhui Qu Xinjian Li Po-Yao (Bernie) Huang Florian Metze AAML 13 7 0 23 Mar 2022
Towards Robust 2D Convolution for Reliable Visual Recognition Lida Li Shuai Li Kun Wang Xiangchu Feng Lei Zhang 19 1 0 18 Mar 2022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? Y. Fu Shunyao Zhang Shan-Hung Wu Cheng Wan Yingyan Lin AAML 23 64 0 16 Mar 2022
Task-Agnostic Robust Representation Learning A. Nguyen Ser Nam Lim Philip Torr SSL OOD 16 4 0 15 Mar 2022
On the benefits of knowledge distillation for adversarial robustness Javier Maroto Guillermo Ortiz-Jiménez P. Frossard AAML FedML 22 20 0 14 Mar 2022
Adversarial amplitude swap towards robust image classifiers Tan Yang K. Kawamoto Hiroshi Kera AAML 16 1 0 14 Mar 2022
LAS-AT: Adversarial Training with Learnable Attack Strategy Xiaojun Jia Yong Zhang Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 47 131 0 13 Mar 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack Ye Liu Yaya Cheng Lianli Gao Xianglong Liu Qilong Zhang Jingkuan Song AAML 37 57 0 10 Mar 2022
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4 William Berrios Arturo Deza MedIm ViT 30 13 0 08 Mar 2022
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches Maura Pintor Daniele Angioni Angelo Sotgiu Luca Demetrio Ambra Demontis Battista Biggio Fabio Roli AAML 33 49 0 07 Mar 2022
Why adversarial training can hurt robust accuracy Jacob Clarysse Julia Hörrmann Fanny Yang AAML 13 18 0 03 Mar 2022
Enhancing Adversarial Robustness for Deep Metric Learning Mo Zhou Vishal M. Patel AAML 27 18 0 02 Mar 2022
ARIA: Adversarially Robust Image Attribution for Content Provenance Maksym Andriushchenko X. Li Geoffrey Oxholm Thomas Gittings Tu Bui Nicolas Flammarion John Collomosse AAML 19 0 0 25 Feb 2022
Understanding Adversarial Robustness from Feature Maps of Convolutional Layers Cong Xu Wei Zhang Jun Wang Min Yang AAML 23 2 0 25 Feb 2022
Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling Zhi-Yuan Zhang Di Liu AAML 9 1 0 24 Feb 2022
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness Beomsu Kim Junghoon Seo AAML 22 0 0 21 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min-Bin Lin Xiao Yang Junyi Zhu Shuicheng Yan 30 119 0 21 Feb 2022
Transferring Adversarial Robustness Through Robust Representation Matching Pratik Vaishnavi Kevin Eykholt Amir Rahmati OOD AAML 11 10 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 85 47 0 20 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets Xupeng Shi Pengfei Zheng Adam Ding Yuan Gao Weizhong Zhang AAML 23 1 0 14 Feb 2022
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation Zhen Li Guenevere Chen Chen Chen Chen Yayi Zou Shouhuai Xu AAML AI4TS 16 44 0 12 Feb 2022
Improving Generalization via Uncertainty Driven Perturbations Matteo Pagliardini Gilberto Manunza Martin Jaggi Michael I. Jordan Tatjana Chavdarova AAML AI4CE 21 4 0 11 Feb 2022
Fast Adversarial Training with Noise Augmentation: A Unified Perspective on RandStart and GradAlign Axi Niu Kang Zhang Chaoning Zhang Chenshuang Zhang In So Kweon Chang D. Yoo Yanning Zhang AAML 55 6 0 11 Feb 2022
Deadwooding: Robust Global Pruning for Deep Neural Networks Sawinder Kaur Ferdinando Fioretto Asif Salekin 19 4 0 10 Feb 2022
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition Juan C. Pérez Motasem Alfarra Ali K. Thabet Pablo Arbelaez Guohao Li AAML 23 1 0 10 Feb 2022
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios Jung Im Choi Qing Tian AAML 30 38 0 10 Feb 2022
Adversarial Detection without Model Information Abhishek Moitra Youngeun Kim Priyadarshini Panda AAML 25 1 0 09 Feb 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations Lei Hsiung Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML 19 30 0 09 Feb 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 30 18 0 08 Feb 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 30 1 0 07 Feb 2022
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework Mohammad Khalooei M. Homayounpour M. Amirmazlaghani AAML 25 3 0 05 Feb 2022
Memory Defense: More Robust Classification via a Memory-Masking Autoencoder Eashan Adhikarla Danni Luo Brian D. Davison AAML 19 2 0 05 Feb 2022
Robust Binary Models by Pruning Randomly-initialized Networks Chen Liu Ziqi Zhao Sabine Süsstrunk Mathieu Salzmann TPM AAML MQ 29 4 0 03 Feb 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training Pau de Jorge Adel Bibi Riccardo Volpi Amartya Sanyal Philip Torr Grégory Rogez P. Dokania AAML 57 45 0 02 Feb 2022
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients Hanbin Hong Yuan Hong Yu Kong AAML 30 2 0 02 Feb 2022
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 38 1 0 29 Jan 2022
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications Hitoshi Kiya AprilPyone Maungmaung Yuma Kinoshita Shoko Imaizumi Sayaka Shiota 24 58 0 26 Jan 2022
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems Wei Jia Zhaojun Lu Haichun Zhang Zhenglin Liu Jie Wang Gang Qu AAML 16 51 0 17 Jan 2022