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
Other Contributors
Navneet Agarwal
Undergraduate Program (till 2019)
Sanat Anand
Undergraduate Program (till 2019)
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.
