Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

5 August 2018

Papers citing "Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models"

50 / 216 papers shown

Title
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks Dequan Wang An Ju Evan Shelhamer David Wagner Trevor Darrell AAML 26 26 0 18 May 2021
Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning Franziska Boenisch Philip Sperl Konstantin Böttinger AAML 18 13 0 17 May 2021
Towards Robust Vision Transformer Xiaofeng Mao Gege Qi YueFeng Chen Xiaodan Li Ranjie Duan Shaokai Ye Yuan He Hui Xue ViT 23 186 0 17 May 2021
Biometrics: Trust, but Verify Anil K. Jain Debayan Deb Joshua J. Engelsma FaML 28 79 0 14 May 2021
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks Jun-Ho Choi Huan Zhang Jun-Hyuk Kim Cho-Jui Hsieh Jong-Seok Lee VLM 24 7 0 30 Apr 2021
Adversarial Robustness Guarantees for Gaussian Processes A. Patané Arno Blaas Luca Laurenti L. Cardelli Stephen J. Roberts Marta Z. Kwiatkowska GP AAML 98 9 0 07 Apr 2021
$Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model$ Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 22 8 0 05 Apr 2021
Fast Certified Robust Training with Short Warmup Zhouxing Shi Yihan Wang Huan Zhang Jinfeng Yi Cho-Jui Hsieh AAML 20 52 0 31 Mar 2021
Natural Perturbed Training for General Robustness of Neural Network Classifiers Sadaf Gulshad A. Smeulders OOD AAML 27 2 0 21 Mar 2021
Generic Perceptual Loss for Modeling Structured Output Dependencies Yifan Liu Hao Chen Yu Chen Wei Yin Chunhua Shen 9 31 0 18 Mar 2021
Adversarial Training is Not Ready for Robot Learning Mathias Lechner Ramin Hasani Radu Grosu Daniela Rus T. Henzinger AAML 38 34 0 15 Mar 2021
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations Yu-Lin Tsai Chia-Yi Hsu Chia-Mu Yu Pin-Yu Chen AAML OOD 33 26 0 03 Mar 2021
Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine Learning Chia-Yi Hsu Pin-Yu Chen Songtao Lu Sijia Liu Chia-Mu Yu AAML 16 9 0 02 Mar 2021
Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic Learning Gerardo Ibarra-Vázquez Gustavo Olague Mariana Chan-Ley Cesar Puente C. Soubervielle-Montalvo AAML 6 13 0 01 Mar 2021
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search Guoyang Xie Jinbao Wang Guo-Ding Yu Feng Zheng Yaochu Jin AAML 19 5 0 28 Feb 2021
On the robustness of randomized classifiers to adversarial examples Rafael Pinot Laurent Meunier Florian Yger Cédric Gouy-Pailler Y. Chevaleyre Jamal Atif AAML 32 14 0 22 Feb 2021
$Measuring the Transferability of $\ell_\infty$ Attacks by the $\ell_2$ Norm$ Measuring the Transferability of $\ell_\infty$ Attacks by the $\ell_2$ Norm Sizhe Chen Qinghua Tao Zhixing Ye Xiaolin Huang 15 0 0 20 Feb 2021
Effective and Efficient Vote Attack on Capsule Networks Jindong Gu Baoyuan Wu Volker Tresp AAML 17 26 0 19 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 26 14 0 18 Feb 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training Lue Tao Lei Feng Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 34 71 0 09 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 82 475 0 02 Feb 2021
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks Jia-Wei Liu Yaochu Jin AAML OOD 15 36 0 16 Jan 2021
Evaluating the Robustness of Collaborative Agents P. Knott Micah Carroll Sam Devlin K. Ciosek Katja Hofmann Anca Dragan Rohin Shah 14 34 0 14 Jan 2021
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records Yiqin Yu Pin-Yu Chen Yuan Zhou Jing Mei OOD 21 1 0 13 Jan 2021
Unadversarial Examples: Designing Objects for Robust Vision Hadi Salman Andrew Ilyas Logan Engstrom Sai H. Vemprala A. Madry Ashish Kapoor WIGM 65 59 0 22 Dec 2020
Visually Imperceptible Adversarial Patch Attacks on Digital Images Yaguan Qian Jiamin Wang Bin Wang Xiang Ling Zhaoquan Gu Chunming Wu Wassim Swaileh AAML 39 2 0 02 Dec 2020
Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack Jaehui Hwang Jun-Hyuk Kim Jun-Ho Choi Jong-Seok Lee AAML 21 15 0 30 Nov 2020
Architectural Adversarial Robustness: The Case for Deep Pursuit George Cazenavette Calvin Murdock Simon Lucey AAML 34 23 0 29 Nov 2020
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images Debayan Deb Xiaoming Liu Anil K. Jain CVBM AAML PICV 11 27 0 28 Nov 2020
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks Hao Shen Sihong Chen Ran Wang 30 5 0 27 Nov 2020
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization T. Han S. Nebelung F. Pedersoli Markus Zimmermann M. Schulze-Hagen ... Christoph Haarburger Fabian Kiessling Christiane Kuhl Volkmar Schulz Daniel Truhn MedIm 6 33 0 25 Nov 2020
Extreme Value Preserving Networks Mingjie Sun Jianguo Li Changshui Zhang AAML MDE 8 0 0 17 Nov 2020
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks Yuxin Wen Shuai Li Kui Jia AAML 10 24 0 15 Nov 2020
Automatic Open-World Reliability Assessment Mohsen Jafarzadeh T. Ahmad A. Dhamija Chunchun Li Steve Cruz Terrance E. Boult 26 11 0 11 Nov 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks Tao Bai Jinqi Luo Jun Zhao AAML 49 8 0 03 Nov 2020
Improve Adversarial Robustness via Weight Penalization on Classification Layer Cong Xu Dan Li Min Yang AAML 17 4 0 08 Oct 2020
Adversarial and Natural Perturbations for General Robustness Sadaf Gulshad J. H. Metzen A. Smeulders AAML OOD 15 3 0 03 Oct 2020
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 22 261 0 01 Oct 2020
Feature Distillation With Guided Adversarial Contrastive Learning Tao Bai Jinnan Chen Jun Zhao B. Wen Xudong Jiang Alex C. Kot AAML 12 9 0 21 Sep 2020
Optimizing Mode Connectivity via Neuron Alignment N. Joseph Tatro Pin-Yu Chen Payel Das Igor Melnyk P. Sattigeri Rongjie Lai MoMe 223 80 0 05 Sep 2020
Are Deep Neural Networks "Robust"? P. Meer OOD 13 0 0 25 Aug 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks Elahe Arani F. Sarfraz Bahram Zonooz AAML 22 9 0 16 Aug 2020
Relevance Attack on Detectors Sizhe Chen Fan He Xiaolin Huang Kun Zhang AAML 24 16 0 16 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 25 73 0 07 Aug 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor A. Madry 37 417 0 16 Jul 2020
On Adversarial Robustness: A Neural Architecture Search perspective Chaitanya Devaguptapu Devansh Agarwal Gaurav Mittal Pulkit Gopalani V. Balasubramanian OOD AAML 12 33 0 16 Jul 2020
RobFR: Benchmarking Adversarial Robustness on Face Recognition Xiao Yang Dingcheng Yang Yinpeng Dong Hang Su Wenjian Yu Jun Zhu AAML 74 14 0 08 Jul 2020
Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability Utku Ozbulak Jonathan Peck W. D. Neve Bart Goossens Yvan Saeys Arnout Van Messem AAML 15 2 0 07 Jul 2020
Proper Network Interpretability Helps Adversarial Robustness in Classification Akhilan Boopathy Sijia Liu Gaoyuan Zhang Cynthia Liu Pin-Yu Chen Shiyu Chang Luca Daniel AAML FAtt 24 66 0 26 Jun 2020
Smooth Adversarial Training Cihang Xie Mingxing Tan Boqing Gong Alan Yuille Quoc V. Le OOD 30 152 0 25 Jun 2020