Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN
Authors: Ke Sun, Zhanxing Zhu, Zhouchen Lin | Published: 2019-02-28
敵対的学習
Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors
Authors: Ke Sun, Zhanxing Zhu, Zhouchen Lin | Published: 2019-02-28
Adversarial Attacks on Time Series
Authors: Fazle Karim, Somshubra Majumdar, Houshang Darabi | Published: 2019-02-27 | Updated: 2019-03-01
The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection
Authors: Muhammad Zaid Hameed, Andras Gyorgy, Deniz Gunduz | Published: 2019-02-27 | Updated: 2020-04-07
Design of intentional backdoors in sequential models
Authors: Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani | Published: 2019-02-26
Adversarial attacks hidden in plain sight
Authors: Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer | Published: 2019-02-25 | Updated: 2020-04-26
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence
Authors: Yi Han, David Hubczenko, Paul Montague, Olivier De Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah Erfani | Published: 2019-02-25 | Updated: 2020-08-17
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
Authors: Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang | Published: 2019-02-23 | Updated: 2020-01-10
Quantifying Perceptual Distortion of Adversarial Examples
Authors: Matt Jordan, Naren Manoj, Surbhi Goel, Alexandros G. Dimakis | Published: 2019-02-21
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
Authors: Gavin Weiguang Ding, Luyu Wang, Xiaomeng Jin | Published: 2019-02-20