Asynchronous Byzantine Machine Learning (the case of SGD)
Authors: Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui, Rhicheek Patra, Mahsa Taziki | Published: 2018-02-22 | Updated: 2018-07-09
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
Adversarial Training for Probabilistic Spiking Neural Networks
Authors: Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran | Published: 2018-02-22 | Updated: 2018-02-26
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
Actions Speak Louder Than Goals: Valuing Player Actions in Soccer
Authors: Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis | Published: 2018-02-18 | Updated: 2019-07-10
WebEye – Automated Collection of Malicious HTTP Traffic
Authors: Johann Vierthaler, Roman Kruszelnicki, Julian Schütte | Published: 2018-02-16
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
Stealing Hyperparameters in Machine Learning
Authors: Binghui Wang, Neil Zhenqiang Gong | Published: 2018-02-14 | Updated: 2019-09-07