Adversarial Examples: Attacks and Defenses for Deep Learning

Adversarial Examples: Attacks and Defenses for Deep Learning

19 December 2017

Papers citing "Adversarial Examples: Attacks and Defenses for Deep Learning"

16 / 66 papers shown

Title
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 201 6,113 0 01 Jul 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 274 8,127 0 16 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 180 3,699 0 10 Jun 2016
Measuring Neural Net Robustness with Constraints Osbert Bastani Yani Andrew Ioannou Leonidas Lampropoulos Dimitrios Vytiniotis A. Nori A. Criminisi AAML 80 424 0 24 May 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 191 8,851 0 04 Feb 2016
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 165 2,068 0 31 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 148 4,895 0 14 Nov 2015
Learning with a Strong Adversary Ruitong Huang Bing Xu Dale Schuurmans Csaba Szepesvári AAML 77 358 0 10 Nov 2015
The IBM 2015 English Conversational Telephone Speech Recognition System G. Saon H. Kuo Steven J. Rennie M. Picheny 51 129 0 21 May 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 248 4,667 0 21 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 158 3,271 0 05 Dec 2014
Robots that can adapt like animals Antoine Cully Jeff Clune Danesh Tarapore Jean-Baptiste Mouret 87 1,037 0 13 Jul 2014
Do Deep Nets Really Need to be Deep? Lei Jimmy Ba R. Caruana 162 2,117 0 21 Dec 2013
Network In Network Min Lin Qiang Chen Shuicheng Yan 291 6,274 0 16 Dec 2013
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 109 1,589 0 27 Jun 2012
Building high-level features using large scale unsupervised learning Quoc V. Le MarcÁurelio Ranzato R. Monga M. Devin Kai Chen G. Corrado J. Dean A. Ng SSL OffRL CVBM 116 2,270 0 29 Dec 2011

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