Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples
Authors: Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan | Published: 2018-02-05 | Updated: 2018-02-07
敵対的学習
Sparsity-based Defense against Adversarial Attacks on Linear Classifiers
Authors: Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani | Published: 2018-01-15 | Updated: 2018-06-19
Spatially Transformed Adversarial Examples
Authors: Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song | Published: 2018-01-08 | Updated: 2018-01-09
Generating Adversarial Examples with Adversarial Networks
Authors: Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song | Published: 2018-01-08 | Updated: 2019-02-14
The Robust Manifold Defense: Adversarial Training using Generative Models
Authors: Ajil Jalal, Andrew Ilyas, Constantinos Daskalakis, Alexandros G. Dimakis | Published: 2017-12-26 | Updated: 2019-07-10
Query-Efficient Black-box Adversarial Examples (superceded)
Authors: Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin | Published: 2017-12-19 | Updated: 2018-04-06
Adversarial Examples: Attacks and Defenses for Deep Learning
Authors: Xiaoyong Yuan, Pan He, Qile Zhu, Xiaolin Li | Published: 2017-12-19 | Updated: 2018-07-07
DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation
Authors: Catherine Wong | Published: 2017-12-14
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Authors: Wieland Brendel, Jonas Rauber, Matthias Bethge | Published: 2017-12-12 | Updated: 2018-02-16
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Authors: Battista Biggio, Fabio Roli | Published: 2017-12-08 | Updated: 2018-07-19