A Fully Private Pipeline for Deep Learning on Electronic Health Records
Authors: Edward Chou, Thao Nguyen, Josh Beal, Albert Haque, Li Fei-Fei | Published: 2018-11-25
差分プライバシー
Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning
Authors: Muhammad Shayan, Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh | Published: 2018-11-24 | Updated: 2019-12-12
Private Selection from Private Candidates
Authors: Jingcheng Liu, Kunal Talwar | Published: 2018-11-19
How to Use Heuristics for Differential Privacy
Authors: Seth Neel, Aaron Roth, Zhiwei Steven Wu | Published: 2018-11-19
A Marauder’s Map of Security and Privacy in Machine Learning
Authors: Nicolas Papernot | Published: 2018-11-03
Privacy-Preserving Multiparty Learning For Logistic Regression
Authors: Wei Du, Ang Li, Qinghua Li | Published: 2018-10-04
Privacy-Preserving Deep Learning via Weight Transmission
Authors: Le Trieu Phong, Tran Thi Phuong | Published: 2018-09-10 | Updated: 2019-02-12
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Authors: Xiao Chen, Chaoran Li, Derui Wang, Sheng Wen, Jun Zhang, Surya Nepal, Yang Xiang, Kui Ren | Published: 2018-08-10 | Updated: 2021-11-16
OptStream: Releasing Time Series Privately
Authors: Ferdinando Fioretto, Pascal Van Hentenryck | Published: 2018-08-06 | Updated: 2018-10-30
Subsampled Rényi Differential Privacy and Analytical Moments Accountant
Authors: Yu-Xiang Wang, Borja Balle, Shiva Kasiviswanathan | Published: 2018-07-31 | Updated: 2018-12-04