Adversarial Examples Improve Image Recognition

21 November 2019

Cihang Xie

Mingxing Tan

Papers citing "Adversarial Examples Improve Image Recognition"

24 / 124 papers shown

Title
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Defending Against Multiple and Unforeseen Adversarial Videos Shao-Yuan Lo Vishal M. Patel AAML 23 23 0 11 Sep 2020
Entropy Guided Adversarial Model for Weakly Supervised Object Localization Sabrina Narimene Benassou Wuzhen Shi Feng Jiang GAN AAML WSOL 23 5 0 04 Aug 2020
Stylized Adversarial Defense Muzammal Naseer Salman Khan Munawar Hayat F. Khan Fatih Porikli GAN AAML 22 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 29 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 13 154 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 22 531 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 35 488 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 24 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 21 134 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 34 69 0 25 Feb 2020
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang AAML 35 222 0 25 Feb 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation Dmitry Molchanov Alexander Lyzhov Yuliya Molchanova Arsenii Ashukha Dmitry Vetrov TPM 17 84 0 21 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Tongzheng Ren Mao Ye Qiang Liu AAML 24 56 0 20 Feb 2020
Automatic Shortcut Removal for Self-Supervised Representation Learning Matthias Minderer Olivier Bachem N. Houlsby Michael Tschannen SSL 13 73 0 20 Feb 2020
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network Jungkyu Lee Taeryun Won Tae Kwan Lee Hyemin Lee Geonmo Gu K. Hong 26 57 0 17 Jan 2020
Fine-grained Synthesis of Unrestricted Adversarial Examples Omid Poursaeed Tianxing Jiang Yordanos Goshu Harry Yang Serge J. Belongie Ser-Nam Lim AAML 35 13 0 20 Nov 2019
Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin Colin Wei Tengyu Ma AAML OOD 36 85 0 09 Oct 2019
Intriguing properties of adversarial training at scale Cihang Xie Alan Yuille AAML 8 68 0 10 Jun 2019
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 191 273 0 03 Dec 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 264 3,110 0 04 Nov 2016