AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning
Authors: Jinyuan Jia, Neil Zhenqiang Gong | Published: 2018-05-13 | Updated: 2020-04-13
Privacy Protection Mechanism
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
Understanding Membership Inferences on Well-Generalized Learning Models
Authors: Yunhui Long, Vincent Bindschaedler, Lei Wang, Diyue Bu, Xiaofeng Wang, Haixu Tang, Carl A. Gunter, Kai Chen | Published: 2018-02-13
Distributed One-class Learning
Authors: Ali Shahin Shamsabadi, Hamed Haddadi, Andrea Cavallaro | Published: 2018-02-10
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