Chiron: Privacy-preserving Machine Learning as a Service
Authors: Tyler Hunt, Congzheng Song, Reza Shokri, Vitaly Shmatikov, Emmett Witchel | Published: 2018-03-15
Differential Privacy
Generating Artificial Data for Private Deep Learning
Authors: Aleksei Triastcyn, Boi Faltings | Published: 2018-03-08 | Updated: 2019-04-28
Scalable Private Learning with PATE
Authors: Nicolas Papernot, Shuang Song, Ilya Mironov, Ananth Raghunathan, Kunal Talwar, Úlfar Erlingsson | Published: 2018-02-24
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Authors: Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, Dawn Song | Published: 2018-02-22 | Updated: 2019-07-16
CryptoRec: Privacy-preserving Recommendation as a Service
Authors: Jun Wang, Afonso Arriaga, Qiang Tang, Peter Y. A. Ryan | Published: 2018-02-07 | Updated: 2018-05-13
Differentially Private Distributed Learning for Language Modeling Tasks
Authors: Vadim Popov, Mikhail Kudinov, Irina Piontkovskaya, Petr Vytovtov, Alex Nevidomsky | Published: 2017-12-20 | Updated: 2018-03-06
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
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