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ORCIDRahul Rachuri
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- affiliation: Aarhus University, Denmark
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2020 – today
- 2024
[c7]Carsten Baum
, Nikolas Melissaris, Rahul Rachuri, Peter Scholl:
Cheater Identification on a Budget: MPC with Identifiable Abort from Pairwise MACs. CRYPTO (8) 2024: 454-488- 2023
- [c6]Lennart Braun, Mahak Pancholi, Rahul Rachuri, Mark Simkin:
Ramen: Souper Fast Three-Party Computation for RAM Programs. CCS 2023: 3284-3297 - [i8]Lennart Braun, Mahak Pancholi, Rahul Rachuri, Mark Simkin:
Ramen: Souper Fast Three-Party Computation for RAM Programs. IACR Cryptol. ePrint Arch. 2023: 310 (2023) - [i7]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: 1548 (2023) - 2022
- [c5]Rahul Rachuri, Peter Scholl:
Le Mans: Dynamic and Fluid MPC for Dishonest Majority. CRYPTO (1) 2022: 719-749 - [c4]Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh:
Tetrad: Actively Secure 4PC for Secure Training and Inference. NDSS 2022 - 2021
- [i6]Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh:
Tetrad: Actively Secure 4PC for Secure Training and Inference. CoRR abs/2106.02850 (2021) - [i5]Nishat Koti, Arpita Patra, Rahul Rachuri, Ajith Suresh:
Tetrad: Actively Secure 4PC for Secure Training and Inference. IACR Cryptol. ePrint Arch. 2021: 755 (2021) - [i4]Rahul Rachuri, Peter Scholl:
Le Mans: Dynamic and Fluid MPC for Dishonest Majority. IACR Cryptol. ePrint Arch. 2021: 1579 (2021) - 2020
- [c3]Daniel Escudero, Satrajit Ghosh, Marcel Keller, Rahul Rachuri, Peter Scholl:
Improved Primitives for MPC over Mixed Arithmetic-Binary Circuits. CRYPTO (2) 2020: 823-852 - [c2]Harsh Chaudhari, Rahul Rachuri, Ajith Suresh:
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. NDSS 2020 - [i3]Daniel Escudero, Satrajit Ghosh, Marcel Keller, Rahul Rachuri, Peter Scholl:
Improved Primitives for MPC over Mixed Arithmetic-Binary Circuits. IACR Cryptol. ePrint Arch. 2020: 338 (2020)
2010 – 2019
- 2019
- [i2]Rahul Rachuri, Ajith Suresh:
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. CoRR abs/1912.02631 (2019) - [i1]Rahul Rachuri, Ajith Suresh:
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. IACR Cryptol. ePrint Arch. 2019: 1315 (2019) - 2018
- [c1]Seetarama Raju Pericherla, Rahul Rachuri, Shrisha Rao:
Modeling Confirmation Bias Through Egoism and Trust in a Multi Agent System. SMC 2018: 1162-1168
Coauthor Index
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