Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks
Authors: Di Gao, Cheng Zhuo | Published: 2020-04-05
Privacy Issues
Information Leakage in Embedding Models
Authors: Congzheng Song, Ananth Raghunathan | Published: 2020-03-31 | Updated: 2020-08-19
A machine-learning approach to Detect users’ suspicious behaviour through the Facebook wall
Authors: Aimilia Panagiotou, Bogdan Ghita, Stavros Shiaeles, Keltoum Bendiab | Published: 2019-10-31
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
Authors: Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake | Published: 2019-10-20
Decentralized & Collaborative AI on Blockchain
Authors: Justin D. Harris, Bo Waggoner | Published: 2019-07-16
Spatial Positioning Token (SPToken) for Smart Mobility
Authors: Roman Overko, Rodrigo H. Ordonez-Hurtado, Sergiy Zhuk, Pietro Ferraro, Andrew Cullen, Robert Shorten | Published: 2019-05-16 | Updated: 2020-12-11
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
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
Context-aware, Adaptive and Scalable Android Malware Detection through Online Learning (extended version)
Authors: Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu | Published: 2017-06-03 | Updated: 2017-07-06