Akhil Bandarupalli

I'm a Ph.D. student in Computer Science at Purdue University in West Lafayette, Indiana. I am advised by Prof. Aniket Kate and Prof. Saurabh Bagchi.

My research interests include designing Byzantine fault-tolerant (BFT) distributed computing protocols for Multi-Party Computation (MPC), blockchains, and Cyber-Physical Systems (CPS).

CV  /  Research Statement  /  Scholar  /  Twitter  /  Github

Preprints

Publications

2025

Velox: Scalable Fair Asynchronous MPC from Lightweight Cryptography *Akhil Bandarupalli, Xiaoyu Ji, Aniket Kate, Chen-Da Liu-Zhang, Daniel Pöllmann, and Yifan Song ACM CCS 2025 eprint, Github

Computationally Efficient Asynchronous MPC with Linear Communication and Low Additive Overhead *Akhil Bandarupalli, Xiaoyu Ji, Aniket Kate, Chen-Da Liu-Zhang, and Yifan Song IACR CRYPTO 2025 eprint

2024

Random Beacons in Monte Carlo: Efficient Asynchronous Random Beacon without Threshold Cryptography Akhil Bandarupalli, Adithya Bhat, Saurabh Bagchi, Aniket Kate, and Michael K. Reiter. ACM CCS, 2024 eprint,Github

Delphi: Efficient Asynchronous Approximate Agreement for Financial Price Oracles and Drone Swarms Akhil Bandarupalli, Adithya Bhat, Saurabh Bagchi, Aniket Kate, Chen-Da Liu-Zhang, and Michael K. Reiter. IEEE/IFIP DSN, 2024 arXiv, Github

SensorBFT: Fault-Tolerant Target Localization using Voronoi Diagrams and Approximate Agreement Akhil Bandarupalli, Adithya Bhat, Somali Chaterji, Michael K. Reiter, Aniket Kate, and Saurabh Bagchi. IEEE ICDCS, 2024 Paper,Github

2023

EESMR: Energy efficient BFT-SMR for the masses Adithya Bhat, Akhil Bandarupalli, Manish Nagaraj, Saurabh Bagchi, Aniket Kate, and Michael K. Reiter. ACM Middleware, 2023 Github

The unique chain rule and its applications Adithya Bhat, Akhil Bandarupalli, Saurabh Bagchi, Aniket Kate, and Michael K. Reiter. FC, 2023