1. Deep Learning with Differential Privacy
2. Achieving Privacy-preserving Federated Learning with Irrelevant Updates over E-Health Applications
3. Ashish Dandekar, Debabrota Basu, and Stéphane Bressan. 2018. Differential Privacy for Regularised Linear Regression. In Database and Expert Systems Applications, Sven Hartmann, Hui Ma, Abdelkader Hameurlain, Günther Pernul, and Roland R. Wagner (Eds.). Springer International Publishing, Cham, 483--491.
4. Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith. 2006. Calibrating Noise to Sensitivity in Private Data Analysis. In Theory of Cryptography, , Shai Halevi and Tal Rabin (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 265--284.