Formal Methods

IDESSAI 2021

Formal verification of deep neural networks: theory and practice; a tutorial I gave during the joint INRIA-DFKI 2021 summer school.

Partitionnement en régions linéaires pour la vérification formelle de réseaux de neurones

La grande polyvalence et les résultats impressionnants des réseaux de neurones modernes viennent en partie de leur non-linéarité. Cette propriété fondamentale rend malheureusement très difficile leur vérification formelle, et ce, même si on se …

PFIA 2020

Theory and practice of deep learning verification; a tutorial I gave during the PFIA 2020 conference

CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators

The topic of provable deep neural network robustness has raised considerable interest in recent years. Most research has focused on adversarial robustness, which studies the robustness of perceptive models in the neighbourhood of particular samples. …