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Email: prashant@cse.iitd.ac.in | CV | PhD Thesis | Google Scholar | LinkedIn | Github
I am a postdoctoral researcher at the Max-Planck Institute for Security and Privacy, hosted by Gilles Barthe in the Foundations of Security and Privacy Group.
Prior to this, I finished my PhD in the Department of Computer Science and Engineering at IIT Delhi, under the guidance of Subhashis Banerjee and Subodh Sharma. In my thesis, I developed robust and secure voting protocols suitable for large public elections, such as the Indian elections. My research has also greatly benefited from insightful technical contributions by Mahavir Jhawar.
My current research interests lie at the intersection of cryptography, privacy and formal methods.
Publications
Publications
Aarav Varshney, Prashant Agrawal and Mahavir Jhawar
An anonymous proof of account ownership (PAO) lets a prover anonymously prove to a verifier that it owns an account at a service provider, without requiring any changes at the service provider or even revealing to it that such an anonymous PAO is taking place. This project proposes a much simpler and generalisable scheme than past anonymous PAO schemes based on custom MPC protocols.
Publicly Auditable Privacy-Preserving Electoral Rolls [CSF 2024]
Prashant Agrawal, Mahavir Jhawar, Subodh Sharma, Subhashis Banerjee
An inquiry into protecting electoral rolls or voter lists from manipulation, while protecting the privacy harms from completely public electoral rolls.
Traceable Mixnets [PETS 2024]
Prashant Agrawal, Abhinav Nakarmi, Mahavir Jhawar, Subodh Sharma, Subhashis Banerjee
A powerful extension of traditional mixnet capabilities to allow specific query responses about ciphertext-plaintext associations while strictly preserving anonymity. Achieved through novel distributed zero-knowledge proofs of set and reverse set membership, ensuring no mix-server learns more than necessary. The implementation demonstrates a significant efficiency advantage, outperforming current methods by an order of magnitude.
OpenVoting: Recovering from Failures in Dual Voting [E-VOTE-ID 2023]
Prashant Agrawal, Kabir Tomer, Abhinav Nakarmi, Mahavir Jhawar, Subodh Sharma, and Subhashis Banerjee
A novel approach for efficiently recovering from audit failures in dual voting systems, blending the cryptographic security of E2E-V with the simplicity of VVPR audits. It focuses on localising failures at specific polling booths, enhancing election integrity without compromising voter secrecy, thereby offering a robust solution for large, multi-polling booth elections.
Commentaries and Book Chapters
Commentaries and Book Chapters
Blockchain vs Public Bulletin Board for Integrity of Elections and Electoral Rolls
with Subodh Sharma, Subhashis Banerjee
(The India Forum, 2021)On Health Data Architecture Design
with Subodh Sharma, Ambuj Sagar, Subhashis Banerjee (edited by Smriti Parsheera)
(Book: Private and Controversial: When Public Health and Privacy Meet in India, Editor: HarperCollins India)Unsuitability of Internet Voting, and Blockchain Versus Public Bulletin Board for Integrity of Elections and Electoral Rolls
with Subodh Sharma, Subhashis Banerjee (edited by M. G. Devasahayam)
(Book: Electoral Democracy?: An Inquiry into the Fairness and Integrity of Elections in India, Paranjoy)Public Bulletin Boards for Integrity of Electoral Rolls
with Subodh Sharma, Subhashis Banerjee
(CSE archive, IIT Delhi)
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