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

, , , and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 2497-2504. IOS Press, (2020)

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Contextualised Out-of-Distribution Detection Using Pattern Identification., , , , and . SAFECOMP Workshops, volume 14182 of Lecture Notes in Computer Science, page 423-435. Springer, (2023)CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators., , , and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 2497-2504. IOS Press, (2020)CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators., , , and . CoRR, (2019)DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification., , , , and . CoRR, (2021)Contextualised Out-of-Distribution Detection using Pattern Identication., , , , and . CoRR, (2023)Verification and validation of Machine Learning techniques. (Vérification et validation de techniques d'apprentissage machine).. University of Paris-Saclay, France, (2021)Interpretable Out-Of-Distribution Detection Using Pattern Identification., , , , and . CoRR, (2023)CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness., , , , and . AISafety@IJCAI, volume 3215 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)