v1v2v3 (latest)

Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

20 / 1,270 papers shown

Title
Robustness of classifiers to universal perturbations: a geometric perspective Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard Stefano Soatto AAML 103 118 0 26 May 2017
MagNet: a Two-Pronged Defense against Adversarial Examples Dongyu Meng Hao Chen AAML 56 1,210 0 25 May 2017
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation Matthias Hein Maksym Andriushchenko AAML 131 512 0 23 May 2017
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense Sailik Sengupta Tathagata Chakraborti S. Kambhampati AAML 137 63 0 19 May 2017
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Li-Wei Chen Michael E. Kounavis Duen Horng Chau AAML 89 307 0 08 May 2017
A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions Samuel F. Dodge Lina Karam 3DH 79 423 0 06 May 2017
Universal Adversarial Perturbations Against Semantic Image Segmentation J. H. Metzen Mummadi Chaithanya Kumar Thomas Brox Volker Fischer AAML 177 288 0 19 Apr 2017
Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks Yi Han Benjamin I. P. Rubinstein SILM AAML 66 6 0 06 Apr 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 104 1,283 0 04 Apr 2017
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly Jiajun Lu Theerasit Issaranon David A. Forsyth GAN 120 381 0 01 Apr 2017
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images Rakshith Shetty Bernt Schiele Mario Fritz 147 229 0 30 Mar 2017
Diving into the shallows: a computational perspective on large-scale shallow learning Siyuan Ma M. Belkin 89 78 0 30 Mar 2017
Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective Seong Joon Oh Mario Fritz Bernt Schiele CVBM AAML 431 162 0 28 Mar 2017
Adversarial Transformation Networks: Learning to Generate Adversarial Examples S. Baluja Ian S. Fischer GAN 87 286 0 28 Mar 2017
Adversarial Examples for Semantic Segmentation and Object Detection Cihang Xie Jianyu Wang Zhishuai Zhang Yuyin Zhou Lingxi Xie Alan Yuille GAN AAML 113 935 0 24 Mar 2017
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems Hossein Hosseini Yize Chen Sreeram Kannan Baosen Zhang Radha Poovendran AAML 90 107 0 13 Mar 2017
On Detecting Adversarial Perturbations J. H. Metzen Tim Genewein Volker Fischer Bastian Bischoff AAML 125 952 0 14 Feb 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 203 1,735 0 01 Dec 2016
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu Basel Alomair AAML 176 1,743 0 08 Nov 2016
Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization Uri Shaham Yutaro Yamada S. Negahban AAML 84 78 0 17 Nov 2015