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stat.ML2022
Adversarial attacks on neural networks through canonical Riemannian foliations
Eliot Tron, Nicolas Couellan, Stéphane Puechmorel
Deep learning models are known to be vulnerable to adversarial attacks. Adversarial learning is therefore becoming a crucial task. We propose a new vision on neural network robustn…
stat.ML2020★ 3 cited
Classifying histograms of medical data using information geometry of beta distributions
Alice Le Brigant, Nicolas Guigui, Sana Rebbah +1
In this paper, we use tools of information geometry to compare, average and classify histograms. Beta distributions are fitted to the histograms and the corresponding Fisher inform…