Projects

Advances in Differential Privacy and Differentially Private Machine Learning - A Survey

Under Review at ACM CSUR for the special edition on Trustworthy AI. Work done under Dr. Subhankar Mishra’s supervision at NISER.

Training High-Utility Differentially Private Graph Neural Networks with Public Pretraining

Ongoing project in collaboration with Dr. Georgios Kaissis' lab at TU Munich.

On the Equity of Privacy Preserving Methods in (Demographic) Data Analysis

Ongoing project as a member of Dr. Ferdinando Fioretto’s lab at Syracuse University, and in collaboration with Keyu Zhu (Georgia Tech).

7th Semester Project

A Review of Differential Privacy and Recent Developments.

Novel Methods for Federated Learning - Communication-Efficiency and Decentralisation

Currently pending improvement and publication. Originally conceived as part of a course project for CS460 - Machine Learning (Fall, 2021) at NISER.

Term Paper on Hybrid Encryption

Done in collaboration with my peers as part of the requirements for CS451 - Modern Cryptology (Summer, 2021).