OptStream: Releasing Time Series Privately
Authors: Ferdinando Fioretto, Pascal Van Hentenryck | Published: 2018-08-06 | Updated: 2018-10-30
差分プライバシー
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
Differentially-Private “Draw and Discard” Machine Learning
Authors: Vasyl Pihur, Aleksandra Korolova, Frederick Liu, Subhash Sankuratripati, Moti Yung, Dachuan Huang, Ruogu Zeng | Published: 2018-07-11 | Updated: 2018-10-10
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
Authors: Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin | Published: 2018-07-02 | Updated: 2019-10-26
Privacy Preserving Analytics on Distributed Medical Data
Authors: Marina Blanton, Ah Reum Kang, Subhadeep Karan, Jaroslaw Zola | Published: 2018-06-18
Differentially Private Confidence Intervals for Empirical Risk Minimization
Authors: Yue Wang, Daniel Kifer, Jaewoo Lee | Published: 2018-04-11
Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries
Authors: Pierre Dellenbach, Aurélien Bellet, Jan Ramon | Published: 2018-03-27