Adversarial Vision Challenge
Authors: Wieland Brendel, Jonas Rauber, Alexey Kurakin, Nicolas Papernot, Behar Veliqi, Marcel Salathé, Sharada P. Mohanty, Matthias Bethge | Published: 2018-08-06 | Updated: 2018-12-06
Adversarial Learning
Rob-GAN: Generator, Discriminator, and Adversarial Attacker
Authors: Xuanqing Liu, Cho-Jui Hsieh | Published: 2018-07-27 | Updated: 2019-04-15
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding
Authors: Tong Chen, Wenjia Niu, Yingxiao Xiang, Xiaoxuan Bai, Jiqiang Liu, Zhen Han, Gang Li | Published: 2018-07-18
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Authors: Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin | Published: 2018-07-10 | Updated: 2018-10-27
Implicit Generative Modeling of Random Noise during Training for Adversarial Robustness
Authors: Priyadarshini Panda, Kaushik Roy | Published: 2018-07-05 | Updated: 2019-05-31
Adversarial Robustness Toolbox v1.0.0
Authors: Maria-Irina Nicolae, Mathieu Sinn, Minh Ngoc Tran, Beat Buesser, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Ian M. Molloy, Ben Edwards | Published: 2018-07-03 | Updated: 2019-11-15
Adversarial Examples in Deep Learning: Characterization and Divergence
Authors: Wenqi Wei, Ling Liu, Margaret Loper, Stacey Truex, Lei Yu, Mehmet Emre Gursoy, Yanzhao Wu | Published: 2018-06-29 | Updated: 2018-12-30
Towards Demystifying Membership Inference Attacks
Authors: Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei | Published: 2018-06-28 | Updated: 2019-02-01
Gradient Adversarial Training of Neural Networks
Authors: Ayan Sinha, Zhao Chen, Vijay Badrinarayanan, Andrew Rabinovich | Published: 2018-06-21
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations
Authors: Thomas Tanay, Jerone T. A. Andrews, Lewis D. Griffin | Published: 2018-06-19 | Updated: 2019-05-07