Together or Alone: The Price of Privacy in Collaborative Learning
Authors: Balazs Pejo, Qiang Tang, Gergely Biczok | Published: 2017-12-01 | Updated: 2018-08-24
Differential Privacy
CryptoDL: Deep Neural Networks over Encrypted Data
Authors: Ehsan Hesamifard, Hassan Takabi, Mehdi Ghasemi | Published: 2017-11-14
Learning Differentially Private Recurrent Language Models
Authors: H. Brendan McMahan, Daniel Ramage, Kunal Talwar, Li Zhang | Published: 2017-10-18 | Updated: 2018-02-24
Differentially Private Query Learning: from Data Publishing to Model Publishing
Authors: Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu | Published: 2017-10-13
On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches
Authors: Martín Abadi, Úlfar Erlingsson, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang | Published: 2017-08-26
Quantum Privacy-Preserving Perceptron
Authors: Shenggang Ying, Mingsheng Ying, Yuan Feng | Published: 2017-07-31
A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization
Authors: Jeffrey Pawlick, Quanyan Zhu | Published: 2017-06-08 | Updated: 2017-10-16
Personalized and Private Peer-to-Peer Machine Learning
Authors: Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi | Published: 2017-05-23 | Updated: 2018-02-19
Differentially Private Bayesian Learning on Distributed Data
Authors: Mikko Heikkilä, Eemil Lagerspetz, Samuel Kaski, Kana Shimizu, Sasu Tarkoma, Antti Honkela | Published: 2017-03-03 | Updated: 2017-05-29