lucas schott
lucas schott
Institute of Research and Technology SystemX
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Cited by
Cited by
Stochastic sparse adversarial attacks
M Césaire, L Schott, H Hajri, S Lamprier, P Gallinari
2021 IEEE 33rd International Conference on Tools with Artificial …, 2021
Coupling algebraic topology theory, formal methods and safety requirements toward a new coverage metric for artificial intelligence models
F Adjed, M Mziou-Sallami, F Pelliccia, M Rezzoug, L Schott, C Bohn, ...
Neural Computing and Applications 34 (19), 17129-17144, 2022
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network
L Schott, H Hajri, S Lamprier
2022 International Joint Conference on Neural Networks (IJCNN), 2022
Neural adversarial attacks with random noises
H Hajri, M Cesaire, L Schott, S Lamprier, P Gallinari
International Journal on Artificial Intelligence Tools, 2022
Certification of deep reinforcement learning with multiple outputs using abstract interpretation and safety critical systems
F Adjed, F Pelliccia, M Rezzoug, L Schott
Proceedings of the 31st European safety and reliability conference, 3185-3191, 2021
Cooperation between a human traffic manager and an AI assistant for an improved railway infrastructure resilience
T Rousseau, K Amokrane, M Meddeb, N Renoir, M Brunat, M Fort, ...
Transport Research Arena (TRA2024, 2024
Plateforme d'assistants interactifs pour les opérations en temps réel
M Meddeb, K Amokrane, R Kaddah, L Schott, D Wright, AA Said
HyCHA'24-Journées d'Intelligence Artificielle Hybride: de l'intégration des …, 2024
Robust Deep Reinforcement Learning Through Adversarial Attacks and Training: A Survey
L Schott, J Delas, H Hajri, E Gherbi, R Yaich, N Boulahia-Cuppens, ...
arXiv preprint arXiv:2403.00420, 2024
On Improving the Robustness of Reinforcement Learning Policies against Adversarial Attacks
Y Jaafra, C Bohn, L Schott, F Adjed, F Pelliccia, M Rezzoug
ESREL 2022, 2022
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