MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks
Authors: Siwakorn Srisakaokul, Yuhao Zhang, Zexuan Zhong, Wei Yang, Tao Xie, Bo Li | Published: 2018-08-31 | Updated: 2019-07-27
敵対的学習
Lipschitz regularized Deep Neural Networks generalize and are adversarially robust
Authors: Chris Finlay, Jeff Calder, Bilal Abbasi, Adam Oberman | Published: 2018-08-28 | Updated: 2019-09-12
Reinforcement Learning for Autonomous Defence in Software-Defined Networking
Authors: Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier De Vel, Sarah Erfani, David Hubczenko, Christopher Leckie, Paul Montague | Published: 2018-08-17
Distributionally Adversarial Attack
Authors: Tianhang Zheng, Changyou Chen, Kui Ren | Published: 2018-08-16 | Updated: 2018-12-06
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
Authors: Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai, Alec Jacobson | Published: 2018-08-08 | Updated: 2019-02-17
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
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