Systematic Attack Surface Reduction For Deployed Sentiment Analysis Models
Authors: Josh Kalin, David Noever, Gerry Dozier | Published: 2020-06-19
防御メカニズム
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples
Authors: Kaleel Mahmood, Deniz Gurevin, Marten van Dijk, Phuong Ha Nguyen | Published: 2020-06-18 | Updated: 2021-05-20
Adversarial Training is a Form of Data-dependent Operator Norm Regularization
Authors: Kevin Roth, Yannic Kilcher, Thomas Hofmann | Published: 2019-06-04 | Updated: 2020-10-23
Unrestricted Adversarial Examples
Authors: Tom B. Brown, Nicholas Carlini, Chiyuan Zhang, Catherine Olsson, Paul Christiano, Ian Goodfellow | Published: 2018-09-22
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Authors: Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau | Published: 2017-05-08
Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking
Authors: Erwin Quiring, Daniel Arp, Konrad Rieck | Published: 2017-03-16
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
Authors: Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun | Published: 2017-03-08 | Updated: 2019-11-13