Modeling Confirmation Bias Through Egoism and Trust in a Multi Agent System. - Seetarama Raju Pericherla; Rahul Rachuri; Shrisha Rao 001 (SMC, 2018)

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. - Rahul Rachuri; Ajith Suresh (IACR Cryptol. ePrint Arch., 2019)

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. - Harsh Chaudhari; Rahul Rachuri; Ajith Suresh (NDSS, 2020)

Improved Primitives for MPC over Mixed Arithmetic-Binary Circuits. - Daniel Escudero 001; Satrajit Ghosh; Marcel Keller; Rahul Rachuri; Peter Scholl (IACR Cryptol. ePrint Arch., 2020)

Tetrad: Actively Secure 4PC for Secure Training and Inference. - Nishat Koti; Arpita Patra; Rahul Rachuri; Ajith Suresh (IACR Cryptol. ePrint Arch., 2021)

Le Mans: Dynamic and Fluid MPC for Dishonest Majority. - Rahul Rachuri; Peter Scholl (IACR Cryptol. ePrint Arch., 2021)

Cheater Identification on a Budget: MPC with Identifiable Abort from Pairwise MACs. - Carsten Baum; Nikolas Melissaris; Rahul Rachuri; Peter Scholl (IACR Cryptol. ePrint Arch., 2023)

Ramen: Souper Fast Three-Party Computation for RAM Programs. - Lennart Braun; Mahak Pancholi; Rahul Rachuri; Mark Simkin 001 (IACR Cryptol. ePrint Arch., 2023)

Covert Attacks on Machine Learning Training in Passively Secure MPC. - Matthew Jagielski; Rahul Rachuri; Daniel Escudero 001; Peter Scholl (IACR Cryptol. ePrint Arch., 2025)