Rahul Rachuri
Rahul Rachuri
Visa Research
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Zitiert von
Zitiert von
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning
R Rachuri, A Suresh, H Chaudhari
NDSS Symposium 2020, 2019
Improved Primitives for MPC over Mixed Arithmetic-Binary Circuits
D Escudero, S Ghosh, M Keller, R Rachuri, P Scholl
Advances in Cryptology–CRYPTO 2020: 40th Annual International Cryptology …, 2020
Tetrad: Actively Secure 4PC for Secure Training and Inference
N Koti, A Patra, R Rachuri, A Suresh
NDSS Symposium 2022, 2021
Le Mans: Dynamic and Fluid MPC for Dishonest Majority
R Rachuri, P Scholl
Advances in Cryptology–CRYPTO 2022: 42nd Annual International Cryptology …, 2022
Adversarial Attacks and Countermeasures on Private Training in MPC
D Escudero, M Jagielski, R Rachuri, P Scholl
PPML@ NeurIPS, 2021
Ramen: Souper fast three-party computation for ram programs
L Braun, M Pancholi, R Rachuri, M Simkin
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
Modeling confirmation bias through egoism and trust in a multi agent system
SR Pericherla, R Rachuri, S Rao
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
Cheater Identification on a Budget: MPC with Identifiable Abort from Pairwise MACs
C Baum, N Melissaris, R Rachuri, P Scholl
Cryptology ePrint Archive, 2023
Practical Multiparty Computation
R Rachuri
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