Prior to GeorgiaTech, I was a pre-doctoral Research Fellow at Microsoft Research India (MSRI) in the cryptography group (called EzPC). At Microsoft, I was fortunate to be advised by Dr. Satya Lokam, Dr. Nishanth Chandran and Dr. Divya Gupta, under whose guidance I worked on cool problems in secure multi-party computation and differentially private machine learning.
I graduated with a Bachelor of Engineering (B.E.) in Computer Science from BITS Pilani, India in July 2023. In the past, I have interned at American Express and Goldman Sachs as a software developer. I was also a Google Summer of Code (GSoC) student (2021) and a mentor (2022).
Azkaban: A Zero-Knowledge Abstract Analysis for Neural Networks
, Lucien K. L. Ng, Yibin Yang, Vladimir Kolesnikov, Teodora Baluta
To appear in 33rd ACM SIGSAC Conference on Computer and Communications Security (CCS) 2026
Fuzzy Private Information Retrieval via Improved Function Secret Sharing
Lucas Piske, Jaspal Singh, , Ni Trieu, Vassilis Zikas
To appear in 48th IEEE Symposium on Security and Privacy (S&P) 2027
BiSON : Billion-Scale Oblivious Nearest-Neighbor Search in Milliseconds
, Rohan Ravi, Nishanth Chandran, Divya Gupta
11th European Symposium on Security and Privacy (EuroS&P) 2026
Communication Efficient Secure and Private Multi-Party Deep Learning
, Sayak Ray Chowdhury, Nishanth Chandran, Divya Gupta, Satya Lokam, Rahul Sharma
25th Privacy Enhancing Technologies Symposium (PETS) 2025
GIDS: Anomaly detection using generative adversarial networks
Rinoy Macwan, , Maniklal Das
8th International Symposium on Security in Computing and Communications (SSCC) 2020
Post-Vaccination COVID-19 Data Analysis: Privacy and Ethics
, Amit Dua
IEEE Standards Education Grant (2021) Accepted Paper