Obserwuj
Rahul Rachuri
Tytuł
Cytowane przez
Cytowane przez
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Trident: Efficient 4PC framework for privacy preserving machine learning
R Rachuri, A Suresh
NDSS Symposium 2020, 2019
121*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
812020
Tetrad: Actively secure 4pc for secure training and inference
N Koti, A Patra, R Rachuri, A Suresh
NDSS Symposium 2022, 2021
212021
Le mans: dynamic and fluid MPC for dishonest majority
R Rachuri, P Scholl
Advances in Cryptology–CRYPTO 2022: 42nd Annual International Cryptology …, 2022
32022
Adversarial Attacks and Countermeasures on Private Training in MPC
D Escudero, M Jagielski, R Rachuri, P Scholl
PPML@ NeurIPS, 2021
22021
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
22018
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