In this paper, we present a first-of-a-kind empirical performance study of a private fraud detection system developed at SiS ID, a French business security ...
ABSTRACT. With the wide adoption of the Internet, digital transactions surge exponentially and so do the impersonation fraud. While.
A first-of-a-kind empirical performance study of a private fraud detection system developed at SiS ID, a French business security platform, shows that the ...
In this paper, we propose an algorithm to anonymize dataset in order to protect individual privacy by considering this background knowledge. We prove that the ...
Jul 5, 2023 · Rémi Canillas, Rania Talbi, Sara Bouchenak, Omar Hasan, Lionel Brunie, et al.. Exploratory Study of Privacy Preserving Fraud Detection.
Sep 3, 2024 · Abstract. Effective fraud detection and analysis of government-issued identity documents, such as passports, driver's licenses, and identity ...
Exploratory study of privacy preserving fraud detection. R Canillas, R Talbi, S Bouchenak, O Hasan, L Brunie, L Sarrat. Proceedings of the 19th International ...
Exploratory Study of Privacy Preserving Fraud Detection. (2018) In: Proceedings of the 19th International Middleware Conference Industry pp. 25-31.
Exploratory study of privacy preserving fraud detection. R Canillas, R Talbi, S Bouchenak, O Hasan, L Brunie, L Sarrat. Proceedings of the 19th International ...
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Privacy Preserving Machine Learning refers to techniques specifically designed for certain machine learning algorithms to protect the privacy of data during ...