AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning
Authors: Jinyuan Jia, Neil Zhenqiang Gong | Published: 2018-05-13 | Updated: 2020-04-13
メンバーシップ推論
Under the Underground: Predicting Private Interactions in Underground Forums
Authors: Rebekah Overdorf, Carmela Troncoso, Rachel Greenstadt, Damon McCoy | Published: 2018-05-11
Exploiting Unintended Feature Leakage in Collaborative Learning
Authors: Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov | Published: 2018-05-10 | Updated: 2018-11-01
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
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
Towards Measuring Membership Privacy
Authors: Yunhui Long, Vincent Bindschaedler, Carl A. Gunter | Published: 2017-12-25
Towards Reverse-Engineering Black-Box Neural Networks
Authors: Seong Joon Oh, Max Augustin, Bernt Schiele, Mario Fritz | Published: 2017-11-06 | Updated: 2018-02-14
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
Authors: Samuel Yeom, Irene Giacomelli, Matt Fredrikson, Somesh Jha | Published: 2017-09-05 | Updated: 2018-05-04
On Security and Sparsity of Linear Classifiers for Adversarial Settings
Authors: Ambra Demontis, Paolo Russu, Battista Biggio, Giorgio Fumera, Fabio Roli | Published: 2017-08-31