Hi, I am Sankha! I am a first-year Computer Science PhD student at Georgia Institute of Technology, where I am advised by Prof. Vladimir Kolesnikov and Prof. Teodora Baluta. I am broadly interested in applied cryptography and machine learning security, particularly privacy-preserving ML protocols.

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 have a strong foundation in computer science fundamentals and have excellent programming skills suitable for building secure and efficient ML systems. I am always eager to work on problems that address privacy concerns in contemporary ML solutions by formulating novel security definitions and cryptographic primitives, while implementing them as usable solutions.

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).
Publications

Communication Efficient Secure and Private Multi-Party Deep Learning
Sankha Das, Sayak Ray Chowdhury, Nishanth Chandran, Divya Gupta, Satya Lokam, Rahul Sharma
To appear in 25th Privacy Enhancing Technologies Symposium (PETS) 2025

GIDS: Anomaly detection using generative adversarial networks
Rinoy Macwan, Sankha Das, Maniklal Das
8th International Symposium on Security in Computing and Communications (SSCC) 2020

Post-Vaccination COVID-19 Data Analysis: Privacy and Ethics
Sankha Das, Amit Dua
IEEE Standards Education Grant (2021) Accepted Paper

Manuscripts



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