Aryan Nath
Final Year Undergraduate
Ashoka University
I'm a final-year undergraduate student interested in research on Zero-Knowledge Proofs and Secure Multi Party Computation. My undergraduate thesis is on making post-quantum secure age-based proofs for the national identity credential of India, Aadhaar. Apart from academics, I enjoy swimming, playing the guitar, and video games.
Education
Ashoka University, India
B.Sc. (Honours) in Computer Science with a minor in Mathematics
Capstone Project: Towards Efficient Zero-Knowledge Arguments with Post-Quantum Security
Advisors: Prof. Mahavir Jhawar (Ashoka University), Prof. Saravanan Vijayakumaran (IIT Bombay)
News
December 2025
Presented our paper at the International Conference on Pattern Recognition and Machine Intelligence (PReMI 2025)
I got the opportunity to present our accepted paper 'An Explainable Deep-Clustering Approach to Assess Climate Vulnerability in India' at PReMI, which was held at IIT Delhi from 11th-14th January.
December 2025
Submitted my undergraduate capstone project!
For this project, I designed a post-quantum secure privacy-preserving age-based proof scheme that replaces the RSA signature in Aadhaar QR codes with the post-quantum secure Falcon signature. I modified the Falcon signature verification into an incremental computation so that it can be used to create IVC proofs using folding schemes such as Latticefold. This scheme would enable individuals to prove the authenticity of their Aadhaar QR code and that their age makes them eligible to qualify as an adult while keep all of their Aadhaar details, including their exact age, secret. I am currently implementing this scheme and exploring suitable folding schemes based on post-quantum secure commitments that could create an IVC proof for my scheme in a feasible amount of time.
February 2025
Finalist for Data Analysis Hackathon Organized by Harvard University
Our team was selected as one of the top 4 finalists for the data analysis track of the ICH Hackathon organized by Harvard University. We were the only student led team to qualify for the finals.
Publications
Working Manuscript 2025
Compact Private Set Intersection with Authentication and Authorization
Aryan Nath, Manya Garg, Adwaiya Srivastav, Debayan Gupta
Efficient PSI protocol with authentication of inputs using transparent setup. Extended to authorized PSI, trustless online phase, achieved improvements in runtime and communication.
International Conference on Pattern Recognition and Machine Intelligence (PReMI) 2025
An Explainable Deep-Clustering Approach to Assess Climate Vulnerability in India
Soumyajit Basu, Fiona Arora, Aryan Nath, Karan Kumar, Lipika Dey
Used explainable deep-clustering to create a climate vulnerability index and profile for India at the block level. Accepted and presented at PReMI 2025, to be published in Springer LNCS.