Towards Measuring Membership Privacy
Authors: Yunhui Long, Vincent Bindschaedler, Carl A. Gunter | Published: 2017-12-25
Query-limited Black-box Attacks to Classifiers
Authors: Fnu Suya, Yuan Tian, David Evans, Paolo Papotti | Published: 2017-12-23
Differentially Private Federated Learning: A Client Level Perspective
Authors: Robin C. Geyer, Tassilo Klein, Moin Nabi | Published: 2017-12-20 | Updated: 2018-03-01
Differentially Private Distributed Learning for Language Modeling Tasks
Authors: Vadim Popov, Mikhail Kudinov, Irina Piontkovskaya, Petr Vytovtov, Alex Nevidomsky | Published: 2017-12-20 | Updated: 2018-03-06
Query-Efficient Black-box Adversarial Examples (superceded)
Authors: Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin | Published: 2017-12-19 | Updated: 2018-04-06
Adversarial Examples: Attacks and Defenses for Deep Learning
Authors: Xiaoyong Yuan, Pan He, Qile Zhu, Xiaolin Li | Published: 2017-12-19 | Updated: 2018-07-07
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time
Authors: David J. Miller, Yulia Wang, George Kesidis | Published: 2017-12-18 | Updated: 2018-06-28
Cyberattack Detection in Mobile Cloud Computing: A Deep Learning Approach
Authors: Khoi Khac Nguyen, Dinh Thai Hoang, Dusit Niyato, Ping Wang, Diep Nguyen, Eryk Dutkiewicz | Published: 2017-12-16
DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation
Authors: Catherine Wong | Published: 2017-12-14
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Authors: Wieland Brendel, Jonas Rauber, Matthias Bethge | Published: 2017-12-12 | Updated: 2018-02-16