Secure Multi-Party Computation
Overview
People
Outcome
Overview
Secure Multi-Party Computation (MPC) is currently transitioning from a concept in theoretical cryptography to a powerful practical tool. Our research in this area addresses both theoretical and practical aspects of MPC.
Active from 2016
People
Outcome
- Anasuya Acharya, Carmit Hazay, Vlad Kolesnikov and Manoj Prabhakaran, “SCALES: MPC with Small Clients and Larger Ephemeral Servers,” TCC 2022.
- Aarushi Goel, Abhishek Jain, Manoj Prabhakaran and Rajeev Raghunath, “On Communication Models and Best-Achievable Security in Two-Round MPC,” TCC 2021.
- Guru-Vamsi Policharla, Manoj Prabhakaran, Rajeev Raghunath, and Parjanya Vyas, “Group Structure in Correlations and its Applications in Cryptography,” ITC 2021.
- Shweta Agrawal, Rachit Garg, Nishant Kumar and Manoj Prabhakaran. “A Practical Model for Collaborative Databases: Securely Mixing, Searching and Computing,” ESORICS 2020.
- Navneet Agarwal, Sanat Anand and Manoj Prabhakaran. “Uncovering Algebraic Structures in the MPC Landscape,” Eurocrypt 2019.
- Elette Boyle, Abhishek Jain, Manoj Prabhakaran and Ching-Hua Yu. “The Bottleneck Complexity of Secure Multiparty Computation,” ICALP 2018.
- Deepesh Data and Manoj Prabhakaran, “Towards Characterizing Securely Computable Two-Party Randomized Functions,” PKC 2018.
