| 2026 | CRYPTO | Block-Accumulate Codes: Accelerated Linear Codes for PCGs and ZK. | Vladimir Kolesnikov, Stanislav Peceny, Rahul Rachuri, Srinivasan Raghuraman, Peter Rindal, Harshal Shah |
| 2024 | CRYPTO | Cheater Identification on a Budget: MPC with Identifiable Abort from Pairwise MACs. | Carsten Baum, Nikolas Melissaris, Rahul Rachuri, Peter Scholl |
| 2023 | CCS | Ramen: Souper Fast Three-Party Computation for RAM Programs. | Lennart Braun, Mahak Pancholi, Rahul Rachuri, Mark Simkin |
| 2022 | CRYPTO | Le Mans: Dynamic and Fluid MPC for Dishonest Majority. | Rahul Rachuri, Peter Scholl |
| 2022 | NDSS | Tetrad: Actively Secure 4PC for Secure Training and Inference. | Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh |
| 2020 | CRYPTO | Improved Primitives for MPC over Mixed Arithmetic-Binary Circuits. | Daniel Escudero, Satrajit Ghosh, Marcel Keller, Rahul Rachuri, Peter Scholl |
| 2020 | NDSS | Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. | Harsh Chaudhari, Rahul Rachuri, Ajith Suresh |
| 2018 | SMC | Modeling Confirmation Bias Through Egoism and Trust in a Multi Agent System. | Seetarama Raju Pericherla, Rahul Rachuri, Shrisha Rao |