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cs.LG2025
On the Usage of Gaussian Process for Efficient Data Valuation
Clément Bénesse, Patrick Mesana, Athénaïs Gautier +1
In machine learning, knowing the impact of a given datum on model training is a fundamental task referred to as Data Valuation. Building on previous works from the literature, we h…
cs.LG2024
WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles
Patrick Mesana, Clément Bénesse, Hadrien Lautraite +2
In this paper, we introduce WaKA (Wasserstein K-nearest-neighbors Attribution), a novel attribution method that leverages principles from the LiRA (Likelihood Ratio Attack) framewo…
cs.LG2021
Generating synthetic transactional profiles
Hadrien Lautraite, Patrick Mesana
Financial institutions use clients' payment transactions in numerous banking applications. Transactions are very personal and rich in behavioural patterns, often unique to individu…