1 citations · 1 across the 8 of their papers we have counts for
8 papers
Neighborhood Watch: Privacy Risks in Seeded Local Combination Synthetic Data
Hadrien Lautraite, Tristan Allard, Anne-Sophie Charest +2
Synthetic data is seen as a promising solution for sharing data in sensitive contexts. However, recent work on privacy attacks have shown that there are still significant residual…
Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data
Maryam Babaei, Yingke Wang, Hadrien Lautraite +3
Counterfactuals are typically used in high-stakes decision areas to explain a machine learning model by showing how changes to the user profiles result in the desired outcome. Howe…
P2NIA: Privacy-Preserving Non-Iterative Auditing
Jade Garcia Bourrée, Hadrien Lautraite, Sébastien Gambs +3
The emergence of AI legislation has increased the need to assess the ethical compliance of high-risk AI systems. Traditional auditing methods rely on platforms' application program…
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…
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining
Mishaal Kazmi, Hadrien Lautraite, Alireza Akbari +5
We present PANORAMIA, a privacy leakage measurement framework for machine learning models that relies on membership inference attacks using generated data as non-members. By relyin…
Membership Inference Attack for Beluga Whales Discrimination
Voncarlos Marcelo Araújo, Sébastien Gambs, Clément Chion +3
To efficiently monitor the growth and evolution of a particular wildlife population, one of the main fundamental challenges to address in animal ecology is the re-identification of…
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…
Multi-stage Clarification in Conversational AI: The case of Question-Answering Dialogue Systems
Hadrien Lautraite, Nada Naji, Louis Marceau +2
Clarification resolution plays an important role in various information retrieval tasks such as interactive question answering and conversational search. In such context, the user…