Distributed One-class Learning
Authors: Ali Shahin Shamsabadi, Hamed Haddadi, Andrea Cavallaro | Published: 2018-02-10
Privacy Protection Mechanism
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
ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks
Authors: Tsung-Ting Kuo, Lucila Ohno-Machado | Published: 2018-02-06
Secure Range Queries for Multiple Users
Authors: Anselme Tueno, Florian Kerschbaum | Published: 2018-02-04
PrivPy: Enabling Scalable and General Privacy-Preserving Machine Learning
Authors: Yi Li, Yitao Duan, Yu Yu, Shuoyao Zhao, Wei Xu | Published: 2018-01-30 | Updated: 2020-04-21
Machine Learning Models that Remember Too Much
Authors: Congzheng Song, Thomas Ristenpart, Vitaly Shmatikov | Published: 2017-09-22
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
LRSE: A Lightweight Efficient Searchable Encryption Scheme using Local and Global Representations
Authors: Ruihui Zhao, Yuanliang Sun, Mizuho Iwaihara | Published: 2017-05-24
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
Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization
Authors: Mathias Lecuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen | Published: 2017-05-21