SoK: Differential Privacy on Graph-Structured Data
Authors: Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis | Published: 2022-03-17
Privacy Analysis
A Low-Cost Machine Learning Based Network Intrusion Detection System with Data Privacy Preservation
Authors: Jyoti Fakirah, Lauhim Mahfuz Zishan, Roshni Mooruth, Michael N. Johnstone, Wencheng Yang | Published: 2021-07-06
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy
Authors: Yipeng Zhou, Xuezheng Liu, Yao Fu, Di Wu, Chao Li, Shui Yu | Published: 2021-07-05
Certifiably Robust Interpretation via Renyi Differential Privacy
Authors: Ao Liu, Xiaoyu Chen, Sijia Liu, Lirong Xia, Chuang Gan | Published: 2021-07-04
Differentially Private Collaborative Intrusion Detection Systems For VANETs
Authors: Tao Zhang, Quanyan Zhu | Published: 2020-05-02
Differentially Private Federated Learning with Laplacian Smoothing
Authors: Zhicong Liang, Bao Wang, Quanquan Gu, Stanley Osher, Yuan Yao | Published: 2020-05-01 | Updated: 2021-09-10
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
Authors: Samuel Yeom, Irene Giacomelli, Matt Fredrikson, Somesh Jha | Published: 2017-09-05 | Updated: 2018-05-04