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
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Stealing Hyperparameters in Machine Learning
Authors: Binghui Wang, Neil Zhenqiang Gong | Published: 2018-02-14 | Updated: 2019-09-07
Generative Models for Spear Phishing Posts on Social Media
Authors: John Seymour, Philip Tully | Published: 2018-02-14
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
Understanding Membership Inferences on Well-Generalized Learning Models
Authors: Yunhui Long, Vincent Bindschaedler, Lei Wang, Diyue Bu, Xiaofeng Wang, Haixu Tang, Carl A. Gunter, Kai Chen | Published: 2018-02-13
Distributed One-class Learning
Authors: Ali Shahin Shamsabadi, Hamed Haddadi, Andrea Cavallaro | Published: 2018-02-10
Certified Robustness to Adversarial Examples with Differential Privacy
Authors: Mathias Lecuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, Suman Jana | Published: 2018-02-09 | Updated: 2019-05-29
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection
Authors: Hung Le, Quang Pham, Doyen Sahoo, Steven C. H. Hoi | Published: 2018-02-09 | Updated: 2018-03-02
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
A Game-Theoretic Approach to Design Secure and Resilient Distributed Support Vector Machines
Authors: Rui Zhang, Quanyan Zhu | Published: 2018-02-07