When Homomorphic Cryptosystem Meets Differential Privacy: Training Machine Learning Classifier with Privacy Protection
Authors: Xiangyun Tang, Liehuang Zhu, Meng Shen, Xiaojiang Du | Published: 2018-12-06
Privacy Protection
Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting
Authors: Clement Fung, Jamie Koerner, Stewart Grant, Ivan Beschastnikh | Published: 2018-11-23 | Updated: 2019-02-24
You are your Metadata: Identification and Obfuscation of Social Media Users using Metadata Information
Authors: Beatrice Perez, Mirco Musolesi, Gianluca Stringhini | Published: 2018-03-27 | Updated: 2018-05-14
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
Differentially Private Federated Learning: A Client Level Perspective
Authors: Robin C. Geyer, Tassilo Klein, Moin Nabi | Published: 2017-12-20 | Updated: 2018-03-01
Privacy Preserving Identification Using Sparse Approximation with Ambiguization
Authors: Behrooz Razeghi, Slava Voloshynovskiy, Dimche Kostadinov, Olga Taran | Published: 2017-09-29