Adversarial Training for Free!

29 April 2019

Papers citing "Adversarial Training for Free!"

50 / 706 papers shown

Title
A Manifold View of Adversarial Risk Wen-jun Zhang Yikai Zhang Xiaoling Hu Mayank Goswami Chao Chen Dimitris N. Metaxas AAML 19 6 0 24 Mar 2022
RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression Jung-Woo Chang Mojan Javaheripi Seira Hidano F. Koushanfar 34 8 0 18 Mar 2022
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study Binxiao Huang Chaofan Tao R. Lin Ngai Wong AAML OOD 20 3 0 16 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
Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training Jiahao Shao Shijia Geng Zhaoji Fu Wei-Zhao Xu Tong Liu linda Qiao AAML 13 4 0 14 Mar 2022
A Survey of Adversarial Defences and Robustness in NLP Shreyansh Goyal Sumanth Doddapaneni Mitesh M.Khapra B. Ravindran AAML 34 30 0 12 Mar 2022
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems H. Abdullah Aditya Karlekar S. Prasad Muhammad Sajidur Rahman Logan Blue L. A. Bauer Vincent Bindschaedler Patrick Traynor AAML 29 3 0 10 Mar 2022
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation Robin Wang Yibo Yang Dacheng Tao 3DPC 27 18 0 08 Mar 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 37 1 0 04 Mar 2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training Pervaiz Iqbal Khan Shoaib Ahmed Siddiqui Imran Razzak Andreas Dengel Sheraz Ahmed 21 3 0 03 Mar 2022
Enhancing Adversarial Robustness for Deep Metric Learning Mo Zhou Vishal M. Patel AAML 30 18 0 02 Mar 2022
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation Haolin Yuan Armin Hadzic William Paul D. Flores P. Mathew J. Aucott Yinzhi Cao Philippe Burlina 6 1 0 28 Feb 2022
Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training Jiazhu Dai Siwei Xiong AAML 31 2 0 28 Feb 2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training Tu Bui Trung Le Quan Hung Tran He Zhao Dinh Q. Phung AAML OOD 46 43 0 27 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 40 120 0 21 Feb 2022
Transferring Adversarial Robustness Through Robust Representation Matching Pratik Vaishnavi Kevin Eykholt Amir Rahmati OOD AAML 19 10 0 21 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 100 47 0 20 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OOD CML 41 97 0 16 Feb 2022
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation Rihan Chen Bin Liu Ziru Xu Yao Wang Qi Li ... Q. hua Junliang Jiang Yunlong Xu Hongbo Deng Bo Zheng 40 21 0 14 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets Xupeng Shi Pengfei Zheng Adam Ding Yuan Gao Weizhong Zhang AAML 31 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 24 44 0 12 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 61 6 0 11 Feb 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 32 18 0 08 Feb 2022
NoisyMix: Boosting Model Robustness to Common Corruptions N. Benjamin Erichson S. H. Lim Winnie Xu Francisco Utrera Ziang Cao Michael W. Mahoney 19 17 0 02 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
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations Amin Ghiasi Hamid Kazemi Steven Reich Chen Zhu Micah Goldblum Tom Goldstein 50 15 0 31 Jan 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
Certifying Model Accuracy under Distribution Shifts Aounon Kumar Alexander Levine Tom Goldstein S. Feizi OOD 27 7 0 28 Jan 2022
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning Jie Zhang Lei Zhang Gang Li Chao Wu GAN AAML 47 10 0 28 Jan 2022
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction Yijun Yang Ruiyuan Gao Yu Li Qiuxia Lai Qiang Xu GAN AAML 42 20 0 24 Jan 2022
Cheating Automatic Short Answer Grading: On the Adversarial Usage of Adjectives and Adverbs Anna Filighera Sebastian Ochs Tim Steuer Thomas Tregel AAML 22 11 0 20 Jan 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes Fangcheng Liu Chaoning Zhang Hongyang R. Zhang AAML 31 20 0 04 Jan 2022
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers Nikola Popovic D. Paudel Thomas Probst Luc Van Gool 34 1 0 30 Dec 2021
Repairing Adversarial Texts through Perturbation Guoliang Dong Jingyi Wang Jun Sun Sudipta Chattopadhyay Xinyu Wang Ting Dai Jie Shi J. Dong AAML 25 2 0 29 Dec 2021
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks Weiran Lin Keane Lucas Lujo Bauer Michael K. Reiter Mahmood Sharif AAML 31 5 0 28 Dec 2021
Perlin Noise Improve Adversarial Robustness C. Tang Kun Zhang Chunfang Xing Yong Ding Zengmin Xu AAML 14 3 0 26 Dec 2021
Adaptive Modeling Against Adversarial Attacks Zhiwen Yan Teck Khim Ng AAML 39 0 0 23 Dec 2021
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization Yihua Zhang Guanhua Zhang Prashant Khanduri Min-Fong Hong Shiyu Chang Sijia Liu AAML 41 86 0 23 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 31 9 0 19 Dec 2021
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines Yuxuan Zhang B. Dong Felix Heide AAML 26 8 0 16 Dec 2021
Sharpness-Aware Minimization with Dynamic Reweighting Wenxuan Zhou Fangyu Liu Huan Zhang Muhao Chen AAML 31 8 0 16 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training Chen Liu Zhichao Huang Mathieu Salzmann Tong Zhang Sabine Süsstrunk AAML 28 13 0 14 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack Xiaosen Wang Zeliang Zhang Kangheng Tong Dihong Gong Kun He Zhifeng Li Wei Liu AAML 24 56 0 13 Dec 2021
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer Shiye Lei Zhuozhuo Tu Leszek Rutkowski Feng Zhou Li Shen Fengxiang He Dacheng Tao BDL 28 2 0 12 Dec 2021
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 46 11 0 10 Dec 2021
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications Yongqiang Tian Wuqi Zhang Ming Wen Shing-Chi Cheung Chengnian Sun Shiqing Ma Yu Jiang 34 7 0 06 Dec 2021
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting Abdulmajid Murad F. Kraemer Kerstin Bach Gavin Taylor OOD BDL UQCV 23 12 0 05 Dec 2021
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness Jia-Li Yin Lehui Xie Wanqing Zhu Ximeng Liu Bo-Hao Chen TTA AAML 34 3 0 01 Dec 2021
Do Invariances in Deep Neural Networks Align with Human Perception? Vedant Nanda Ayan Majumdar Camila Kolling John P. Dickerson Krishna P. Gummadi Bradley C. Love Adrian Weller AAML 16 4 0 29 Nov 2021
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack Mengting Xu Tao Zhang Daoqiang Zhang AAML MedIm 26 23 0 29 Nov 2021