How to Use Heuristics for Differential Privacy
Authors: Seth Neel, Aaron Roth, Zhiwei Steven Wu | Published: 2018-11-19
Differential Privacy
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
Security and Privacy Issues in Deep Learning
Authors: Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Hyungyu Lee, Sungroh Yoon | Published: 2018-07-31 | Updated: 2021-03-10
Supervised and Semi-Supervised Deep Neural Networks for CSI-Based Authentication
Authors: Qian Wang, Hang Li, Zhi Chen, Dou Zhao, Shuang Ye, Jiansheng Cai | Published: 2018-07-25
Efficient Deep Learning on Multi-Source Private Data
Authors: Nick Hynes, Raymond Cheng, Dawn Song | Published: 2018-07-17