Algorithms that Remember: Model Inversion Attacks and Data Protection Law
Authors: Michael Veale, Reuben Binns, Lilian Edwards | Published: 2018-07-12 | Updated: 2018-10-15
Membership Inference
Towards Demystifying Membership Inference Attacks
Authors: Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei | Published: 2018-06-28 | Updated: 2019-02-01
Killing four birds with one Gaussian process: the relation between different test-time attacks
Authors: Kathrin Grosse, Michael T. Smith, Michael Backes | Published: 2018-06-06 | Updated: 2020-11-29
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
Authors: Ahmed Salem, Yang Zhang, Mathias Humbert, Pascal Berrang, Mario Fritz, Michael Backes | Published: 2018-06-04 | Updated: 2018-12-14
Performing Co-Membership Attacks Against Deep Generative Models
Authors: Kin Sum Liu, Chaowei Xiao, Bo Li, Jie Gao | Published: 2018-05-24 | Updated: 2019-09-20
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
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