Towards Deep Neural Network Architectures Robust to Adversarial Examples

11 December 2014

Papers citing "Towards Deep Neural Network Architectures Robust to Adversarial Examples"

12 / 162 papers shown

Title
A study of the effect of JPG compression on adversarial images Gintare Karolina Dziugaite Zoubin Ghahramani Daniel M. Roy AAML 38 531 0 02 Aug 2016
Measuring Neural Net Robustness with Constraints Osbert Bastani Yani Andrew Ioannou Leonidas Lampropoulos Dimitrios Vytiniotis A. Nori A. Criminisi AAML 17 422 0 24 May 2016
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms Tom Zahavy Bingyi Kang Alex Sivak Jiashi Feng Huan Xu Shie Mannor OOD AAML 39 12 0 07 Feb 2016
A Unified Gradient Regularization Family for Adversarial Examples Chunchuan Lyu Kaizhu Huang Hai-Ning Liang AAML 16 207 0 19 Nov 2015
Foveation-based Mechanisms Alleviate Adversarial Examples Yan Luo Xavier Boix Gemma Roig T. Poggio Qi Zhao AAML 21 170 0 19 Nov 2015
Adversarial Manipulation of Deep Representations S. Sabour Yanshuai Cao Fartash Faghri David J. Fleet GAN AAML 33 286 0 16 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 40 4,852 0 14 Nov 2015
Exploring the Space of Adversarial Images Pedro Tabacof Eduardo Valle AAML 22 191 0 19 Oct 2015
Improving Back-Propagation by Adding an Adversarial Gradient Arild Nøkland AAML 32 32 0 14 Oct 2015
Evasion and Hardening of Tree Ensemble Classifiers Alex Kantchelian J. D. Tygar A. Joseph AAML 20 206 0 25 Sep 2015
Deep Learning and Music Adversaries Corey Kereliuk Bob L. T. Sturm J. Larsen AAML 16 136 0 16 Jul 2015
Analysis of classifiers' robustness to adversarial perturbations Alhussein Fawzi Omar Fawzi P. Frossard AAML 35 361 0 09 Feb 2015