Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering

Autor: Karim, Md. Rezaul, Hermsen, Felix, Chala, Sisay Adugna, de Perthuis, Paola, Mandal, Avikarsha

Money laundering is the process where criminals use financial services to move massive amounts of illegal money to untraceable destinations and integrate them into legitimate financial systems. It is very crucial to identify such activities accuratel

Externí odkaz: http://arxiv.org/abs/2302.11880

Two-Client Inner-Product Functional Encryption with an Application to Money-Laundering Detection

Autor: de Perthuis, Paola, Pointcheval, David

Publikováno v: Proceedings of the 29th ACM Conference on Computer and Communications Security (CCS '22)
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
ACM CCS-Computer and Communications Security 2022
ACM CCS-Computer and Communications Security 2022, Nov 2022, Los Angeles, United States

International audience; In this paper, we extend Inner-Product Functional Encryption (IPFE), where there is just a vector in the key and a vector in the single sender's ciphertext, to two-client ciphertexts. More precisely, in our two-client function

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80486257c62b6cf381a0467e22f0929d
https://doi.org/10.1145/3548606.3559374