Robustness of classifiers: from adversarial to random noise

31 August 2016

Alhussein Fawzi

Seyed-Mohsen Moosavi-Dezfooli

P. Frossard

AAML

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Papers citing "Robustness of classifiers: from adversarial to random noise"

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Title
Adversarial vulnerability for any classifier Alhussein Fawzi Hamza Fawzi Omar Fawzi AAML 219 258 0 23 Feb 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan Yiwen Guo Changshui Zhang AAML 267 118 0 23 Feb 2018
$Robustness of classifiers to uniform $\ell\_p$ and Gaussian noise$ Robustness of classifiers to uniform $\ell\_p$ and Gaussian noise Jean-Yves Franceschi Alhussein Fawzi Omar Fawzi 132 21 0 22 Feb 2018
Divide, Denoise, and Defend against Adversarial Attacks Seyed-Mohsen Moosavi-Dezfooli A. Shrivastava Oncel Tuzel AAML 138 46 0 19 Feb 2018
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations Konda Reddy Mopuri Aditya Ganeshan R. Venkatesh Babu AAML 436 221 0 24 Jan 2018
Fooling End-to-end Speaker Verification by Adversarial Examples Felix Kreuk Yossi Adi Moustapha Cissé Joseph Keshet AAML 180 217 0 10 Jan 2018
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Jiabo He Yue Liu Yisen Wang S. Erfani S. Wijewickrema Grant Schoenebeck Basel Alomair Michael E. Houle James Bailey AAML 352 791 0 08 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Lin Wang AAML 429 1,976 0 02 Jan 2018
A General Framework for Adversarial Examples with Objectives Mahmood Sharif Sruti Bhagavatula Lujo Bauer Michael K. Reiter AAML GAN 214 212 0 31 Dec 2017
Adversarial Examples that Fool Detectors Jiajun Lu Hussein Sibai Evan Fabry AAML 128 154 0 07 Dec 2017
Adaptive Quantization for Deep Neural Network Yiren Zhou Seyed-Mohsen Moosavi-Dezfooli Ngai-Man Cheung P. Frossard MQ 176 206 0 04 Dec 2017
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases Pierre Stock Moustapha Cissé FaML 209 47 0 30 Nov 2017
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation Y. Yoo Seonguk Park Junyoung Choi Sangdoo Yun Nojun Kwak AAML 150 4 0 27 Nov 2017
Defense against Universal Adversarial Perturbations Naveed Akhtar Jian Liu Lin Wang AAML 281 212 0 16 Nov 2017
HyperNetworks with statistical filtering for defending adversarial examples Zhun Sun Mete Ozay Takayuki Okatani AAML 90 16 0 06 Nov 2017
Countering Adversarial Images using Input Transformations Chuan Guo Mayank Rana Moustapha Cissé Laurens van der Maaten AAML 569 1,518 0 31 Oct 2017
Standard detectors aren't (currently) fooled by physical adversarial stop signs Jiajun Lu Hussein Sibai Evan Fabry David A. Forsyth AAML 178 60 0 09 Oct 2017
Art of singular vectors and universal adversarial perturbations Valentin Khrulkov Ivan Oseledets AAML 156 138 0 11 Sep 2017
Fast Feature Fool: A data independent approach to universal adversarial perturbations Konda Reddy Mopuri Utsav Garg R. Venkatesh Babu AAML 211 220 0 18 Jul 2017
Houdini: Fooling Deep Structured Prediction Models Moustapha Cissé Yossi Adi Natalia Neverova Joseph Keshet AAML 189 276 0 17 Jul 2017
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles Jiajun Lu Hussein Sibai Evan Fabry David A. Forsyth AAML 200 288 0 12 Jul 2017
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks John Bradshaw A. G. Matthews Zoubin Ghahramani BDL AAML 256 176 0 08 Jul 2017
Analyzing the Robustness of Nearest Neighbors to Adversarial ExamplesInternational Conference on Machine Learning (ICML), 2017 Yizhen Wang S. Jha Kamalika Chaudhuri AAML 392 159 0 13 Jun 2017
Robustness of classifiers to universal perturbations: a geometric perspective Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard Stefano Soatto AAML 183 120 0 26 May 2017
Regularizing deep networks using efficient layerwise adversarial training S. Sankaranarayanan Arpit Jain Rama Chellappa Ser Nam Lim AAML 156 100 0 22 May 2017
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 380 842 0 28 Apr 2017
Universal Adversarial Perturbations Against Semantic Image Segmentation J. H. Metzen Mummadi Chaithanya Kumar Thomas Brox Volker Fischer AAML 300 298 0 19 Apr 2017
Enhancing Robustness of Machine Learning Systems via Data Transformations A. Bhagoji Daniel Cullina Chawin Sitawarin Prateek Mittal AAML 188 242 0 09 Apr 2017
Adversarial Examples for Semantic Segmentation and Object Detection Cihang Xie Jianyu Wang Zhishuai Zhang Yuyin Zhou Lingxi Xie Alan Yuille GAN AAML 288 994 0 24 Mar 2017
Detecting Adversarial Samples from Artifacts Reuben Feinman Ryan R. Curtin S. Shintre Andrew B. Gardner AAML 249 942 0 01 Mar 2017
Simple Black-Box Adversarial Perturbations for Deep Networks Nina Narodytska S. Kasiviswanathan AAML 193 246 0 19 Dec 2016
Towards Robust Deep Neural Networks with BANG Andras Rozsa Manuel Günther Terrance E. Boult AAML OOD 240 77 0 01 Dec 2016
Local minima in training of neural networks G. Swirszcz Wojciech M. Czarnecki Razvan Pascanu ODL 157 78 0 19 Nov 2016
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu Basel Alomair AAML 552 1,857 0 08 Nov 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 558 2,687 0 26 Oct 2016