Improved Network Robustness with Adversary Critic

Improved Network Robustness with Adversary Critic

30 October 2018

Alexander Matyasko

Lap-Pui Chau

Papers citing "Improved Network Robustness with Adversary Critic"

7 / 7 papers shown

Title
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning Huiling Qin Xianyuan Zhan Yuanxun Li Yu Zheng 35 0 0 28 Dec 2023
Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input Guangyi Liu Arash A. Amini Martin Takáč N. Motee 31 4 0 10 Mar 2022
Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks Hokuto Hirano K. Koga Kazuhiro Takemoto AAML 27 47 0 22 May 2020
Simple iterative method for generating targeted universal adversarial perturbations Hokuto Hirano Kazuhiro Takemoto AAML 33 30 0 15 Nov 2019
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions He Zhao Trung Le Paul Montague O. Vel Tamas Abraham Dinh Q. Phung AAML 28 8 0 03 Oct 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 312 3,115 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 368 5,849 0 08 Jul 2016