DeepCloak: Adversarial Crafting As a Defensive Measure to Cloak Processes
Authors: Mehmet Sinan Inci, Thomas Eisenbarth, Berk Sunar | Published: 2018-08-03 | Updated: 2020-04-23
敵対的サンプル
Limitations of the Lipschitz constant as a defense against adversarial examples
Authors: Todd Huster, Cho-Yu Jason Chiang, Ritu Chadha | Published: 2018-07-25
Motivating the Rules of the Game for Adversarial Example Research
Authors: Justin Gilmer, Ryan P. Adams, Ian Goodfellow, David Andersen, George E. Dahl | Published: 2018-07-18 | Updated: 2018-07-20
Adversarial Perturbations Against Real-Time Video Classification Systems
Authors: Shasha Li, Ajaya Neupane, Sujoy Paul, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy Chowdhury, Ananthram Swami | Published: 2018-07-02
Adversarial Reprogramming of Neural Networks
Authors: Gamaleldin F. Elsayed, Ian Goodfellow, Jascha Sohl-Dickstein | Published: 2018-06-28 | Updated: 2018-11-29
Adversarial Distillation of Bayesian Neural Network Posteriors
Authors: Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger Grosse, Richard Zemel | Published: 2018-06-27
Hardware Trojan Attacks on Neural Networks
Authors: Joseph Clements, Yingjie Lao | Published: 2018-06-14
Defense Against the Dark Arts: An overview of adversarial example security research and future research directions
Authors: Ian Goodfellow | Published: 2018-06-11
Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise
Authors: Vahid Behzadan, Arslan Munir | Published: 2018-06-04
Sufficient Conditions for Idealised Models to Have No Adversarial Examples: a Theoretical and Empirical Study with Bayesian Neural Networks
Authors: Yarin Gal, Lewis Smith | Published: 2018-06-02 | Updated: 2018-06-28