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of 4
pro vyhledávání: '"Rachuri, Rahul"'
Mixing arithmetic and boolean circuits to perform privacy-preserving machine learning has become increasingly popular. Towards this, we propose a framework for the case of four parties with at most one active corruption called Tetrad. Tetrad works ov
Externí odkaz:
http://arxiv.org/abs/2106.02850
Machine learning has started to be deployed in fields such as healthcare and finance, which propelled the need for and growth of privacy-preserving machine learning (PPML). We propose an actively secure four-party protocol (4PC), and a framework for
Externí odkaz:
http://arxiv.org/abs/1912.02631
Autor:
Rachuri, Rahul, Scholl, Peter
Publikováno v:
Rachuri, R & Scholl, P 2022, Le Mans : Dynamic and Fluid MPC for Dishonest Majority . in Y Dodis & T Shrimpton (eds), Advances in Cryptology – CRYPTO 2022-42nd Annual International Cryptology Conference, CRYPTO 2022, Proceedings . Springer, Lecture Notes in Computer Science, vol. 13507, pp. 719-749, 42nd Annual International Cryptology Conference, CRYPTO 2022, Santa Barbara, United States, 15/08/2022 . https://doi.org/10.1007/978-3-031-15802-5_25
Most MPC protocols require the set of parties to be active for the entire duration of the computation.Deploying MPC for use cases such as complex and resource-intensive scientific computations increases the barrier of entry for potential participants
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pure_au_____::72550d911b35262fed9f0aa9845b3d33
https://pure.au.dk/portal/da/publications/le-mans(bc53d541-1453-4f41-8898-94ad6b959989).html
https://pure.au.dk/portal/da/publications/le-mans(bc53d541-1453-4f41-8898-94ad6b959989).html
Publikováno v:
Escudero, D, Ghosh, S, Keller, M, Rachuri, R & Scholl, P 2020, Improved primitives for mpc over mixed arithmetic-binary circuits . in D Micciancio & T Ristenpart (eds), Advances in Cryptology-CRYPTO 2020 . Springer, Cham, Lecture Notes in Computer Science, vol. 12171, pp. 823-852, 40th Annual International Cryptology Conference, CRYPTO 2020, Santa Barbara, United States, 17/08/2020 . https://doi.org/10.1007/978-3-030-56880-1_29
This work introduces novel techniques to improve the translation between arithmetic and binary data types in secure multi-party computation. We introduce a new approach to performing these conversions using what we call extended doubly-authenticated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pure_au_____::2c8099379f542d19c05ab2aa38f10deb
https://pure.au.dk/portal/da/publications/improved-primitives-for-mpc-over-mixed-arithmeticbinary-circuits(a8a7b426-f067-4f06-ada2-a20da32ddf6a).html
https://pure.au.dk/portal/da/publications/improved-primitives-for-mpc-over-mixed-arithmeticbinary-circuits(a8a7b426-f067-4f06-ada2-a20da32ddf6a).html