Rahul Rachuri

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Cryptographic Protocols

Privacy Preserving

Provide Efficient Solutions

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Carsten Baum, Nikolas Melissaris, Rahul Rachuri, Peter Scholl
Cheater Identification on a Budget: MPC with Identifiable Abort from Pairwise MACs. CRYPTO (8) (2024)
Lennart Braun, Mahak Pancholi, Rahul Rachuri, Mark Simkin
Ramen: Souper Fast Three-Party Computation for RAM Programs. CCS (2023)
Carsten Baum, Nikolas Melissaris, Rahul Rachuri, Peter Scholl
Cheater Identification on a Budget: MPC with Identifiable Abort from Pairwise MACs. IACR Cryptol. ePrint Arch. 2023 (2023)
Lennart Braun, Mahak Pancholi, Rahul Rachuri, Mark Simkin
Ramen: Souper Fast Three-Party Computation for RAM Programs. IACR Cryptol. ePrint Arch. 2023 (2023)
Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh
Tetrad: Actively Secure 4PC for Secure Training and Inference. NDSS (2022)
Rahul Rachuri, Peter Scholl
Le Mans: Dynamic and Fluid MPC for Dishonest Majority. CRYPTO (1) (2022)
Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh
Tetrad: Actively Secure 4PC for Secure Training and Inference. CoRR (2021)
Rahul Rachuri, Peter Scholl
Le Mans: Dynamic and Fluid MPC for Dishonest Majority. IACR Cryptol. ePrint Arch. 2021 (2021)
Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh
Tetrad: Actively Secure 4PC for Secure Training and Inference. IACR Cryptol. ePrint Arch. 2021 (2021)
Harsh Chaudhari, Rahul Rachuri, Ajith Suresh
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. NDSS (2020)
Daniel Escudero, Satrajit Ghosh, Marcel Keller, Rahul Rachuri, Peter Scholl
Improved Primitives for MPC over Mixed Arithmetic-Binary Circuits. IACR Cryptol. ePrint Arch. 2020 (2020)
Daniel Escudero, Satrajit Ghosh, Marcel Keller, Rahul Rachuri, Peter Scholl
Improved Primitives for MPC over Mixed Arithmetic-Binary Circuits. CRYPTO (2) (2020)
Rahul Rachuri, Ajith Suresh
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. CoRR (2019)
Rahul Rachuri, Ajith Suresh
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. IACR Cryptol. ePrint Arch. 2019 (2019)
Seetarama Raju Pericherla, Rahul Rachuri, Shrisha Rao
Modeling Confirmation Bias Through Egoism and Trust in a Multi Agent System. SMC (2018)