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pro vyhledávání: '"Minelli, Michele"'
Autor:
Valapu, Sulyab Thottungal, Sarkar, Tamoghna, Coleman, Jared, Avyukt, Anusha, Embrechts, Hugo, Torfs, Dimitri, Minelli, Michele, Krishnamachari, Bhaskar
We introduce DARSAN, a decentralized review system designed for Non-Fungible Token (NFT) marketplaces, to address the challenge of verifying the quality of highly resalable products with few verified buyers by incentivizing unbiased reviews. DARSAN w
Externí odkaz:
http://arxiv.org/abs/2307.15768
Autor:
Minelli, Michele
Le chiffrement totalement homomorphe permet d’effectuer des calculs sur des données chiffrées sans fuite d’information sur celles-ci. Pour résumer, un utilisateur peut chiffrer des données, tandis qu’un serveur, qui n’a pas accès à la c
Externí odkaz:
http://www.theses.fr/2018PSLEE056/document
Autor:
MINELLI, MICHELE
Il progetto di ricerca riguarda le decisioni di disinvestimento ed il coinvolgimento del management di livello intermedio nelle iniziative di disinvestimento. L’obiettivo principale è quello di comprendere il processo decisionale sottostante alle
Externí odkaz:
http://hdl.handle.net/10280/57900
Autor:
MINELLI, MICHELE
Il progetto di ricerca riguarda le decisioni di disinvestimento ed il coinvolgimento del management di livello intermedio nelle iniziative di disinvestimento. L’obiettivo principale è quello di comprendere il processo decisionale sottostante alle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1402::60ac7899abb4e290b6f3696274e26c8d
http://hdl.handle.net/10280/57900
http://hdl.handle.net/10280/57900
Autor:
Minelli, Michele
Publikováno v:
Cryptography and Security [cs.CR]. Université Paris sciences et lettres, 2018. English. ⟨NNT : 2018PSLEE056⟩
Fully homomorphic encryption enables computation on encrypted data without leaking any information about the underlying data. In short, a party can encrypt some input data, while another party, that does not have access to the decryption key, can bli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::442d24e22c88817bc3e6ced82c126b41
https://tel.archives-ouvertes.fr/tel-01918263
https://tel.archives-ouvertes.fr/tel-01918263
Autor:
Barnett, Anthony, Bonte, Charlotte, Bootland, Carl, Bos, Joppe W., Castryck, Wouter, Costache, Anamaria, Goubin, Louis, Iliashenko, Ilia, Lepoint, Tancrède, Minelli, Michele, Paillier, Pascal, Smart, Nigel P., Vercauteren, Frederik, Vivek, Srinivas, Waller, Adrian
Publikováno v:
Workshop on Data Mining with Secure Computation
Workshop on Data Mining with Secure Computation, 2017, skopje, Macedonia. ⟨10.5281/zenodo.2594694⟩
Workshop on Data Mining with Secure Computation, 2017, skopje, Macedonia. ⟨10.5281/zenodo.2594694⟩
Fully Homomorphic Encryption (FHE) was initially introduced as a concept shortly after the development of the RSA cryptosystem, by Rivest et al. [54]. Although long sought after, the first functional scheme was only proposed over thirty years later b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01144501e1e85653236ead98a7ec29c8
Publikováno v:
Advances in Cryptology - CRYPTO 2016: 36th Annual International Cryptology Conference, Santa Barbara, CA, USA, August 14-18, 2016, Proceedings, Part II; 2016, p62-89, 28p
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