Rachuri, Rahul
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1

Ramen: Souper Fast Three-Party Computation for RAM Programs:

, In: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security,
Braun, Lennart ; Pancholi, Mahak ; Rachuri, Rahul. - p. 3284-3297 , 2023
 
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2

Le Mans: Dynamic and Fluid MPC for Dishonest Majority:

, In: Advances in Cryptology – CRYPTO 2022; Lecture Notes in Computer Science,
Rachuri, Rahul ; Scholl, Peter - p. 719-749 , 2022
 
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3

Improved Primitives for MPC over Mixed Arithmetic-Binary Ci..:

, In: Advances in Cryptology – CRYPTO 2020; Lecture Notes in Computer Science,
Escudero, Daniel ; Ghosh, Satrajit ; Keller, Marcel.. - p. 823-852 , 2020
 
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4

Ramen: Souper Fast Three-Party Computation for RAM Programs:

Braun, Lennart ; Pancholi, Mahak Rakesh ; Rachuri, Rahul.
https://pure.au.dk/portal/en/publications/3760d081-24ed-4683-bedb-963ae68183d8.  , 2023
 
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7

Tetrad:Actively Secure 4PC for Secure Training and Inferenc:

Koti, Nishat ; Suresh, Ajith ; Rachuri, Sai Rahul.
Koti , N , Suresh , A , Rachuri , S R & Patra , A 2022 , ' Tetrad : Actively Secure 4PC for Secure Training and Inference ' , Paper presented at Network and Distributed Systems Security (NDSS) Symposium 2022 , San Diego ,Calif. , United States , 24/04/2022 - 28/04/2022 . https://doi.org/10.14722/ndss.2022.24058.  , 2022
 
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