96 citations · 152 across the 20 of their papers we have counts for
4 papers · 1 filter
Stochastic sparse adversarial attacks
Manon Césaire, Lucas Schott, Hatem Hajri +2
This paper introduces stochastic sparse adversarial attacks (SSAA), standing as simple, fast and purely noise-based targeted and untargeted attacks of neural network classifiers (N…
Probabilistic Jacobian-based Saliency Maps Attacks
Théo Combey, António Loison, Maxime Faucher +1
Neural network classifiers (NNCs) are known to be vulnerable to malicious adversarial perturbations of inputs including those modifying a small fraction of the input features named…
Geomstats: A Python Package for Riemannian Geometry in Machine Learning
Nina Miolane, Alice Le Brigant, Johan Mathe +16
We introduce Geomstats, an open-source Python toolbox for computations and statistics on nonlinear manifolds, such as hyperbolic spaces, spaces of symmetric positive definite matri…
FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains
Jeanine Harb, Nicolas Rébéna, Raphaël Chosidow +3
In the realm of autonomous transportation, there have been many initiatives for open-sourcing self-driving cars datasets, but much less for alternative methods of transportation su…