Adversarial Examples Improve Image Recognition

21 November 2019

Cihang Xie

Mingxing Tan

Papers citing "Adversarial Examples Improve Image Recognition"

50 / 108 papers shown

Title
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation Tianying Wang En Yen Puang Marcus Lee Y. Wu Wei Jing SSL 20 5 0 12 Feb 2022
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL) Binoy Saha Sukhendu Das 14 1 0 05 Feb 2022
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images Shiran Zada Itay Benou Michal Irani 11 25 0 16 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses Chun Pong Lau Jiang-Long Liu Hossein Souri Wei-An Lin S. Feizi Ramalingam Chellappa AAML 27 12 0 12 Dec 2021
Pyramid Adversarial Training Improves ViT Performance Charles Herrmann Kyle Sargent Lu Jiang Ramin Zabih Huiwen Chang Ce Liu Dilip Krishnan Deqing Sun ViT 20 56 0 30 Nov 2021
Robust and Accurate Object Detection via Self-Knowledge Distillation Weipeng Xu Pengzhi Chu Renhao Xie Xiongziyan Xiao Hongcheng Huang AAML ObjD 19 4 0 14 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training Erh-Chung Chen Che-Rung Lee AAML 24 26 0 03 Nov 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 19 106 0 26 Oct 2021
Disrupting Deep Uncertainty Estimation Without Harming Accuracy Ido Galil Ran El-Yaniv AAML 11 15 0 26 Oct 2021
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition Jen-Hao Rick Chang Martin Bresler Youssouf Chherawala Adrien Delaye Thomas Deselaers Ryan S. Dixon Oncel Tuzel SyDa 18 2 0 13 Oct 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Xingjun Ma AAML TPM 46 100 0 07 Oct 2021
A Deep Learning Approach for Masking Fetal Gender in Ultrasound Images A. Borundiya Arshak Navruzyan Dennis Igoschev F. C. Oughali H. Pasupuleti Mike Fuller Vinay Kanigicherla T. Kashyap Rishabh Chaurasia Sonali Vinod Jain MedIm 17 0 0 14 Sep 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency Yonggan Fu Yang Katie Zhao Qixuan Yu Chaojian Li Yingyan Lin AAML 44 12 0 11 Sep 2021
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue Keke Tang Dingruibo Miao Weilong Peng Jianpeng Wu Yawen Shi Zhaoquan Gu Zhihong Tian Wenping Wang OODD 137 30 0 13 Aug 2021
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning Hong Wang Yuefan Deng Shinjae Yoo Haibin Ling Yuewei Lin AAML 19 15 0 13 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Task-Specific Normalization for Continual Learning of Blind Image Quality Models Weixia Zhang Kede Ma Guangtao Zhai Xiaokang Yang VLM 26 24 0 28 Jul 2021
SimROD: A Simple Adaptation Method for Robust Object Detection Rindranirina Ramamonjison Amin Banitalebi-Dehkordi Xinyu Kang Xiaolong Bai Yong Zhang ObjD TTA 24 53 0 28 Jul 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 19 21 0 17 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 22 447 0 10 Jun 2021
Concurrent Adversarial Learning for Large-Batch Training Yong Liu Xiangning Chen Minhao Cheng Cho-Jui Hsieh Yang You ODL 28 13 0 01 Jun 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 146 68 0 04 May 2021
Direct Differentiable Augmentation Search Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 25 32 0 09 Apr 2021
Adversarial Robustness under Long-Tailed Distribution Tong Wu Ziwei Liu Qingqiu Huang Yu Wang Dahua Lin 18 76 0 06 Apr 2021
Going deeper with Image Transformers Hugo Touvron Matthieu Cord Alexandre Sablayrolles Gabriel Synnaeve Hervé Jégou ViT 25 986 0 31 Mar 2021
Adversarially Optimized Mixup for Robust Classification Jason Bunk Srinjoy Chattopadhyay B. S. Manjunath S. Chandrasekaran AAML 24 8 0 22 Mar 2021
Bio-inspired Robustness: A Review Harshitha Machiraju Oh-hyeon Choung P. Frossard Michael H. Herzog AAML 30 1 0 16 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack Mengting Xu Tao Zhang Zhongnian Li Mingxia Liu Daoqiang Zhang AAML OOD MedIm 25 41 0 05 Mar 2021
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images Yu-cui Shen L. Zheng Manli Shu Weizi Li Tom Goldstein Ming Lin AAML 34 6 0 26 Feb 2021
RoBIC: A benchmark suite for assessing classifiers robustness Thibault Maho Benoît Bonnet Teddy Furon Erwan Le Merrer AAML 19 4 0 10 Feb 2021
Error Diffusion Halftoning Against Adversarial Examples Shao-Yuan Lo Vishal M. Patel DiffM 10 4 0 23 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 29 2 0 04 Jan 2021
Learnable Boundary Guided Adversarial Training Jiequan Cui Shu-Lin Liu Liwei Wang Jiaya Jia OOD AAML 19 124 0 23 Nov 2020
Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang Tianlong Chen Ting-Li Chen Zhangyang Wang 25 226 0 26 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong G. Li Mucong Ding Zuxuan Wu Chen Zhu Bernard Ghanem Gavin Taylor Tom Goldstein 101 74 0 19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 29 48 0 19 Oct 2020
Deep learning for time series classification Hassan Ismail Fawaz BDL AI4TS 43 35 0 01 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 26 79 0 17 Sep 2020
Entropy Guided Adversarial Model for Weakly Supervised Object Localization Sabrina Narimene Benassou Wuzhen Shi Feng Jiang GAN AAML WSOL 16 5 0 04 Aug 2020
Stylized Adversarial Defense Muzammal Naseer Salman Khan Munawar Hayat F. Khan Fatih Porikli GAN AAML 20 16 0 29 Jul 2020
KOVIS: Keypoint-based Visual Servoing with Zero-Shot Sim-to-Real Transfer for Robotics Manipulation En Yen Puang K. P. Tee Wei Jing 3DPC 19 42 0 28 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang Yunhe Gao Leonid Karlinsky P. Sattigeri Rogerio Feris Dimitris N. Metaxas 19 56 0 17 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 8 153 0 16 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 22 530 0 01 Jul 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan Yen-Chun Chen Linjie Li Chen Zhu Yu Cheng Jingjing Liu ObjD VLM 24 487 0 11 Jun 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Xia Hu AAML 26 8 0 23 Apr 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 18 62 0 25 Mar 2020
Do CNNs Encode Data Augmentations? Eddie Q. Yan Yanping Huang OOD 13 5 0 29 Feb 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 18 134 0 25 Feb 2020
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization Yifei Min Lin Chen Amin Karbasi AAML 26 69 0 25 Feb 2020