Akhil Bandarupalli

I am a Postdoctoral Associate at Duke University, hosted by Prof. Michael Reiter at the Center for Distributed Confidential Computing (CDCC). My research lies at the intersection of distributed systems and applied cryptography, where I design scalable, practical, and secure distributed systems for internet-scale applications and networked cyber-physical systems (CPS), with a particular emphasis on post-quantum security.

I received my Ph.D. in Computer Science from Purdue University, where I was co-advised by Prof. Aniket Kate and Prof. Saurabh Bagchi. During my Ph.D., my research focused on developing scalable, privacy-preserving Multi-Party Computation (MPC) protocols for use in real-world asynchronous networks, with applications in blockchains. I also worked on reliable and scalable distributed agreement protocols for networked Cyber-Physical Systems (CPS). I build and maintain practical implementations of my research to demonstrate their real-world performance and applicability.

I am always open to research collaborations. Please feel free to reach out!

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Preprints

Selected 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