Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization
Authors: Bao Wang, Alex T. Lin, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher | Published: 2018-09-23 | Updated: 2020-04-29
Adversarial Learning
Adversarial Binaries for Authorship Identification
Authors: Xiaozhu Meng, Barton P. Miller, Somesh Jha | Published: 2018-09-21 | Updated: 2018-11-07
Playing the Game of Universal Adversarial Perturbations
Authors: Julien Perolat, Mateusz Malinowski, Bilal Piot, Olivier Pietquin | Published: 2018-09-20 | Updated: 2018-09-25
Certified Adversarial Robustness with Additive Noise
Authors: Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin | Published: 2018-09-10 | Updated: 2019-11-10
IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection
Authors: Zilong Lin, Yong Shi, Zhi Xue | Published: 2018-09-06 | Updated: 2022-05-08
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
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