Private Federated Learning in Gboard
Authors: Yuanbo Zhang, Daniel Ramage, Zheng Xu, Yanxiang Zhang, Shumin Zhai, Peter Kairouz | Published: 2023-06-26
プライバシー保護
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
Authors: Ziqin Chen, Yongqiang Wang | Published: 2023-06-25 | Updated: 2024-08-23
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Authors: Xiang Yue, Huseyin A. Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Hoda Shajari, Huan Sun, David Levitan, Robert Sim | Published: 2022-10-25 | Updated: 2023-07-18
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
Authors: Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi | Published: 2022-10-24 | Updated: 2023-08-10
Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions
Authors: Subrato Bharati, Prajoy Podder | Published: 2022-10-24
Android Private Compute Core Architecture
Authors: Eugenio Marchiori, Sarah de Haas, Sergey Volnov, Ronnie Falcon, Roxanne Pinto, Marco Zamarato | Published: 2022-09-21 | Updated: 2022-09-22
dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation
Authors: Sofiane Mahiou, Kai Xu, Georgi Ganev | Published: 2022-07-12
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms
Authors: Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif | Published: 2022-07-05
Federated Split GANs
Authors: Pranvera Kortoçi, Yilei Liang, Pengyuan Zhou, Lik-Hang Lee, Abbas Mehrabi, Pan Hui, Sasu Tarkoma, Jon Crowcroft | Published: 2022-07-04
Scalable privacy-preserving cancer type prediction with homomorphic encryption
Authors: Esha Sarkar, Eduardo Chielle, Gamze Gursoy, Leo Chen, Mark Gerstein, Michail Maniatakos | Published: 2022-04-12