Search Results for author: Bruno Falissard

Found 2 papers, 0 papers with code

Statistical properties and privacy guarantees of an original distance-based fully synthetic data generation method

no code implementations10 Oct 2023 Rémy Chapelle, Bruno Falissard

Privacy and utility metrics were computed for each of the resulting synthetic datasets, which were further assessed using machine learning approaches. Results: Computed metrics showed a satisfactory level of protection against attribute disclosure attacks for each synthetic dataset, especially when the full framework was used.

Attribute Synthetic Data Generation

Deep clustering of longitudinal data

no code implementations9 Feb 2018 Louis Falissard, Guy Fagherazzi, Newton Howard, Bruno Falissard

These methods provide a framework to model complex, non-linear interactions in large datasets, and are naturally suited to the analysis of hierarchical data such as, for instance, longitudinal data with the use of recurrent neural networks.

Clustering Deep Clustering +1

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