Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Authors: Eric Wong, Frank R. Schmidt, J. Zico Kolter | Published: 2019-02-21 | Updated: 2020-01-18
敵対的攻撃手法
There are No Bit Parts for Sign Bits in Black-Box Attacks
Authors: Abdullah Al-Dujaili, Una-May O'Reilly | Published: 2019-02-19 | Updated: 2019-04-03
On Evaluating Adversarial Robustness
Authors: Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian Goodfellow, Aleksander Madry, Alexey Kurakin | Published: 2019-02-18 | Updated: 2019-02-20
Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces
Authors: Mohammad Saidur Rahman, Mohsen Imani, Nate Mathews, Matthew Wright | Published: 2019-02-18 | Updated: 2020-10-28
A Little Is Enough: Circumventing Defenses For Distributed Learning
Authors: Moran Baruch, Gilad Baruch, Yoav Goldberg | Published: 2019-02-16
Mitigation of Adversarial Examples in RF Deep Classifiers Utilizing AutoEncoder Pre-training
Authors: Silvija Kokalj-Filipovic, Rob Miller, Nicholas Chang, Chi Leung Lau | Published: 2019-02-16
Adversarial Examples in RF Deep Learning: Detection of the Attack and its Physical Robustness
Authors: Silvija Kokalj-Filipovic, Rob Miller | Published: 2019-02-16
Can Intelligent Hyperparameter Selection Improve Resistance to Adversarial Examples?
Authors: Cody Burkard, Brent Lagesse | Published: 2019-02-14
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
Authors: Kevin Roth, Yannic Kilcher, Thomas Hofmann | Published: 2019-02-13 | Updated: 2019-05-09
Adversarial Samples on Android Malware Detection Systems for IoT Systems
Authors: Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, Mohsen Guizani | Published: 2019-02-12