Biologically inspired protection of deep networks from adversarial attacks

27 March 2017

Papers citing "Biologically inspired protection of deep networks from adversarial attacks"

13 / 13 papers shown

Title
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 92 73 0 07 Aug 2020
Comment on "Biologically inspired protection of deep networks from adversarial attacks" Wieland Brendel Matthias Bethge AAML 87 34 0 05 Apr 2017
Deep Learning Models of the Retinal Response to Natural Scenes Lane T. McIntosh Niru Maheswaranathan Aran Nayebi Surya Ganguli S. Baccus 62 254 0 06 Feb 2017
Exponential expressivity in deep neural networks through transient chaos Ben Poole Subhaneil Lahiri M. Raghu Jascha Narain Sohl-Dickstein Surya Ganguli 90 591 0 16 Jun 2016
The Limitations of Deep Learning in Adversarial Settings Nicolas Papernot Patrick McDaniel S. Jha Matt Fredrikson Z. Berkay Celik A. Swami AAML 105 3,962 0 24 Nov 2015
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Nicolas Papernot Patrick McDaniel Xi Wu S. Jha A. Swami AAML 99 3,072 0 14 Nov 2015
Distributional Smoothing with Virtual Adversarial Training Takeru Miyato S. Maeda Masanori Koyama Ken Nakae S. Ishii 89 458 0 02 Jul 2015
Deep Knowledge Tracing Chris Piech J. Bassen Jonathan Huang Surya Ganguli Mehran Sahami Leonidas Guibas Jascha Narain Sohl-Dickstein AI4Ed HAI 94 1,152 0 19 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,049 0 20 Dec 2014
Towards Deep Neural Network Architectures Robust to Adversarial Examples S. Gu Luca Rigazio AAML 76 841 0 11 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 270 14,918 1 21 Dec 2013
Saturating Auto-Encoders Rostislav Goroshin Yann LeCun 62 43 0 16 Jan 2013