Scalable Private Learning with PATE
Authors: Nicolas Papernot, Shuang Song, Ilya Mironov, Ananth Raghunathan, Kunal Talwar, Úlfar Erlingsson | Published: 2018-02-24
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The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Authors: Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, Dawn Song | Published: 2018-02-22 | Updated: 2019-07-16
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