AdvJND: Generating Adversarial Examples with Just Noticeable Difference

1 February 2020

Papers citing "AdvJND: Generating Adversarial Examples with Just Noticeable Difference"

8 / 8 papers shown

Title
Just Noticeable Difference for Machines to Generate Adversarial Images Adil Kaan Akan M. Genc Fatoş T. Yarman Vural AAML 24 5 0 29 Jan 2020
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 246 8,856 0 25 Aug 2017
Black-Box Attacks against RNN based Malware Detection Algorithms Weiwei Hu Ying Tan 41 150 0 23 May 2017
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 127 2,525 0 26 Oct 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 226 8,548 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 517 5,893 0 08 Jul 2016
Globally Normalized Transition-Based Neural Networks D. Andor Chris Alberti David J. Weiss Aliaksei Severyn Alessandro Presta Kuzman Ganchev Slav Petrov Michael Collins 82 568 0 19 Mar 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 239 14,893 1 21 Dec 2013