Robustifying Models Against Adversarial Attacks by Langevin Dynamics

30 May 2018

Papers citing "Robustifying Models Against Adversarial Attacks by Langevin Dynamics"

9 / 9 papers shown

Title
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes Keane Lucas Mahmood Sharif Lujo Bauer Michael K. Reiter S. Shintre AAML 31 67 0 19 Dec 2019
$n$ -ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 18 6 0 19 Dec 2019
Black-Box Decision based Adversarial Attack with Symmetric $α$ -stable Distribution Vignesh Srinivasan E. Kuruoglu K. Müller Wojciech Samek Shinichi Nakajima AAML 25 7 0 11 Apr 2019
FUNN: Flexible Unsupervised Neural Network David Vigouroux Sylvaine Picard AAML OOD 22 0 0 05 Nov 2018
Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks Clemens Seibold Wojciech Samek Anna Hilsmann Peter Eisert AAML CVBM 22 30 0 11 Jun 2018
A General Framework for Adversarial Examples with Objectives Mahmood Sharif Sruti Bhagavatula Lujo Bauer Michael K. Reiter AAML GAN 13 191 0 31 Dec 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,242 0 24 Jun 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 314 3,115 0 04 Nov 2016