Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing
Authors: Yang Liu, Zhuo Ma, Ximeng Liu, Siqi Ma, Surya Nepal, Robert Deng | Published: 2019-07-24 | Updated: 2020-04-10
Privacy Protection
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Authors: Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He | Published: 2019-07-23 | Updated: 2021-12-05
Motion Sensor-based Privacy Attack on Smartphones
Authors: S Abhishek Anand, Chen Wang, Jian Liu, Nitesh Saxena, Yingying Chen | Published: 2019-07-12 | Updated: 2020-10-19
Conditional Analysis for Key-Value Data with Local Differential Privacy
Authors: Lin Sun, Jun Zhao, Xiaojun Ye, Shuo Feng, Teng Wang, Tao Bai | Published: 2019-07-11
Privacy-Preserving Classification with Secret Vector Machines
Authors: Valentin Hartmann, Konark Modi, Josep M. Pujol, Robert West | Published: 2019-07-08 | Updated: 2020-08-19
QUOTIENT: Two-Party Secure Neural Network Training and Prediction
Authors: Nitin Agrawal, Ali Shahin Shamsabadi, Matt J. Kusner, Adrià Gascón | Published: 2019-07-08
Diffprivlib: The IBM Differential Privacy Library
Authors: Naoise Holohan, Stefano Braghin, Pól Mac Aonghusa, Killian Levacher | Published: 2019-07-04
Capacity Bounded Differential Privacy
Authors: Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala | Published: 2019-07-03
Protecting Privacy of Users in Brain-Computer Interface Applications
Authors: Anisha Agarwal, Rafael Dowsley, Nicholas D. McKinney, Dongrui Wu, Chin-Teng Lin, Martine De Cock, Anderson C. A. Nascimento | Published: 2019-07-02
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM
Authors: Bao Wang, Quanquan Gu, March Boedihardjo, Farzin Barekat, Stanley J. Osher | Published: 2019-06-28 | Updated: 2019-12-07