Protection against Cloning for Deep Learning
Authors: Richard Kenway | Published: 2018-03-29
敵対的攻撃
Defending against Adversarial Images using Basis Functions Transformations
Authors: Uri Shaham, James Garritano, Yutaro Yamada, Ethan Weinberger, Alex Cloninger, Xiuyuan Cheng, Kelly Stanton, Yuval Kluger | Published: 2018-03-28 | Updated: 2018-04-16
Bypassing Feature Squeezing by Increasing Adversary Strength
Authors: Yash Sharma, Pin-Yu Chen | Published: 2018-03-27
The Hidden Vulnerability of Distributed Learning in Byzantium
Authors: El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault | Published: 2018-02-22 | Updated: 2018-07-17
Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning
Authors: Christopher Frederickson, Michael Moore, Glenn Dawson, Robi Polikar | Published: 2018-02-20
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Authors: Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau | Published: 2018-02-19
Are Generative Classifiers More Robust to Adversarial Attacks?
Authors: Yingzhen Li, John Bradshaw, Yash Sharma | Published: 2018-02-19 | Updated: 2019-05-27
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
Authors: Jonathan Uesato, Brendan O'Donoghue, Aaron van den Oord, Pushmeet Kohli | Published: 2018-02-15 | Updated: 2018-06-12
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks
Authors: Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen | Published: 2018-02-14 | Updated: 2018-03-19
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection
Authors: Andrea Paudice, Luis Muñoz-González, Andras Gyorgy, Emil C. Lupu | Published: 2018-02-08