1. MemGuard
2. Evaluating Differentially Private Machine Learning in Practice;jayaraman;Proceedings of the 2014 USENIX Security Symposium (USENIX Security),2014
3. Membership Inference Attacks and Defenses in Supervised Learning via Generalization Gap;li;arXiv 2002 12062,2020
4. Private Convex Empirical Risk Minimization and High-dimensional Regression;kifer;Conference on Learning Theory,2012
5. Towards Practical Differentially Private Convex Optimization