Learning with a Strong Adversary

Learning with a Strong Adversary

10 November 2015

Dale Schuurmans

Csaba Szepesvári

Papers citing "Learning with a Strong Adversary"

12 / 12 papers shown

Title
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 53 73 0 07 Aug 2020
Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics Xin Li Fuxin Li GAN AAML 72 364 0 22 Dec 2016
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 55 2,243 0 03 Dec 2015
Exploring the Space of Adversarial Images Pedro Tabacof Eduardo Valle AAML 39 191 0 19 Oct 2015
Improving Back-Propagation by Adding an Adversarial Gradient Arild Nøkland AAML 39 32 0 14 Oct 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 189 43,154 0 11 Feb 2015
Analysis of classifiers' robustness to adversarial perturbations Alhussein Fawzi Omar Fawzi P. Frossard AAML 54 361 0 09 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 118 18,922 0 20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 561 99,991 0 04 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 83 14,831 1 21 Dec 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 326 7,650 0 03 Jul 2012
Apprenticeship Learning using Inverse Reinforcement Learning and Gradient Methods Gergely Neu Csaba Szepesvári 36 244 0 20 Jun 2012