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
モデルの頑健性保証
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
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
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks
Authors: Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy | Published: 2019-02-08 | Updated: 2019-02-11
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis
Authors: Danilo Vasconcellos Vargas, Jiawei Su | Published: 2019-02-08
The Efficacy of SHIELD under Different Threat Models
Authors: Cory Cornelius, Nilaksh Das, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau | Published: 2019-02-01 | Updated: 2019-08-02
Natural and Adversarial Error Detection using Invariance to Image Transformations
Authors: Yuval Bahat, Michal Irani, Gregory Shakhnarovich | Published: 2019-02-01
Improving Adversarial Robustness via Promoting Ensemble Diversity
Authors: Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu | Published: 2019-01-25 | Updated: 2019-05-29
Sitatapatra: Blocking the Transfer of Adversarial Samples
Authors: Ilia Shumailov, Xitong Gao, Yiren Zhao, Robert Mullins, Ross Anderson, Cheng-Zhong Xu | Published: 2019-01-23 | Updated: 2019-11-21
A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples
Authors: Qiang Zeng, Jianhai Su, Chenglong Fu, Golam Kayas, Lannan Luo | Published: 2018-12-26 | Updated: 2019-12-03