Scooby: Improved Multi-party Homomorphic Secret Sharing Based on FHE

Autor: Ilaria Chillotti, Emmanuela Orsini, Peter Scholl, Nigel Paul Smart, Barry Van Leeuwen

Publikováno v: Chillotti, I, Orsini, E, Scholl, P, Smart, N P & Leeuwen, B V 2022, Scooby: Improved Multi-party Homomorphic Secret Sharing Based on FHE . in C Galdi & S Jarecki (eds), Security and Cryptography for Networks. SCN 2022 . Springer, Cham, Lecture Notes in Computer Science, vol. 13409, pp. 540-563, 13th Conference on Security and Cryptography For Networks, Almafi, Italy, 12/09/2022 . https://doi.org/10.1007/978-3-031-14791-3_24
Lecture Notes in Computer Science ISBN: 9783031147906

ispartof: pages:540-563 ispartof: SECURITY AND CRYPTOGRAPHY FOR NETWORKS (SCN 2022) vol:13409 pages:540-563 ispartof: 13th Conference on Security and Cryptography for Networks (SCN) location:ITALY, Amalfi date:12 Sep - 14 Sep 2022 status: published

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fc346e064cad2d4de7c264302541e08
https://lirias.kuleuven.be/handle/20.500.12942/709840

Programmable Bootstrapping Enables Efficient Homomorphic Inference of Deep Neural Networks

Autor: Marc Joye, Ilaria Chillotti, Pascal Paillier

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030780852
CSCML

In many cases, machine learning and privacy are perceived to be at odds. Privacy concerns are especially relevant when the involved data are sensitive. This paper deals with the privacy-preserving inference of deep neural networks.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d98acacccac3814052b4ad845eb90192
https://doi.org/10.1007/978-3-030-78086-9_1

SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search

Autor: Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya P. Razenshteyn, M. Sadegh Riazi

Publikováno v: 29th USENIX Security Symposium

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::dbf61105a9430d595576972e0ff4e00d

Onion Ring ORAM - Efficient Constant Bandwidth Oblivious RAM from (Leveled) TFHE

Autor: Ling Ren, Hao Chen, Ilaria Chillotti

Publikováno v: Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security
CCS

Oblivious RAM (ORAM) is a cryptographic primitive that allows a client to hide access pattern to its data encrypted and stored at a remote server. Traditionally, ORAM algorithms assume the server acts purely as a storage device. Under this assumption

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8625e07667451f7cf9b9d150187c962a

High-Precision Privacy-Preserving Real-Valued Function Evaluation

Autor: Stanislav Peceny, Christina Boura, Ilaria Chillotti, Nicolas Gama, Alexander Petric, Dimitar Jetchev

Publikováno v: In Proceedings of Financial Cryptography and Data Security-(FC) 2018
In Proceedings of Financial Cryptography and Data Security-(FC) 2018, 2018, Nieuwpoort, Curaçao. ⟨10.1007/978-3-662-58387-6_10⟩
Financial Cryptography and Data Security ISBN: 9783662583869
Financial Cryptography

We propose a novel multi-party computation protocol for evaluating continuous real-valued functions with high numerical precision. Our method is based on approximations with Fourier series and uses at most two rounds of communication during the onlin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::111864feb0b3e6e53c0ab073f76d6575
https://hal.uvsq.fr/hal-02171949