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Lucas Schott

Observed name: Schott, Lucas
ORCID: 0000-0001-7946-9685
Observed ORCID: 0000-0001-7946-9685
OpenAlex ID: A5034025046
Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey
2024 · Schott, Lucas, Delas, Josephine, et al. · arXiv (Cornell University) · 19
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Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network
2022 · Lucas Schott, Hatem Hajri, et al. · International Joint Conference on Neural Networks (IJCNN) · 10
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Coupling algebraic topology theory, formal methods and safety requirements toward a new coverage metric for artificial intelligence models
2022 · Faouzi Adjed, Mallek Mziou-Sallami, et al. · Neural Computing and Applications · 10
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Stochastic sparse adversarial attacks
2021 · Manon Cesaire, Lucas Schott, et al. · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · 7
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Cooperation Between a Human Traffic Manager and an AI Assistant for an Improved Railway Infrastructure Resilience
2025 · Tom Rousseau, Kahina Amokrane-Ferka, et al. · Lecture notes in mobility · 2
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Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks.
2021 · Lucas Schott, Manon Césaire, et al. · arXiv (Cornell University) · 1
Certification of Deep Reinforcement Learning with Multiple Outputs Using Abstract Interpretation and Safety Critical Systems
2021 · Faouzi Adjed, Frédéric Pelliccia, et al. · European Safety and Reliability Conference (ESREL) · 1
Uncovering Default Gender Biases in Publicly Accessible LLMs Through Counter-Balancing Cloze-Task (CBCT)
2026 · Faouzi Adjed, Lucas Schott, et al. · Proceedings of the AAAI Symposium Series
TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluation
2026 · TahmasebiMoradi, Axel, Schott, Lucas, et al. · arXiv (Cornell University)
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Diverse and Adaptive Adversarial Training for Robust Reinforcement Learning
2026 · Lucas Schott · theses.fr (ABES)
Reward-Preserving Attacks For Robust Reinforcement Learning
2026 · Schott, Lucas, Gherbi, Elies, et al. · arXiv (Cornell University)
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Plateforme d'assistants interactifs pour les opérations en temps réel
2024 · Meddeb, Maroua, Amokrane-Ferka, Kahina, et al. · HAL
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Neural Adversarial Attacks with Random Noises
2022 · Hatem Hajri, Manon Césaire, et al. · International Journal of Artificial Intelligence Tools
On Improving the Robustness of Reinforcement Learning Policies Against Adversarial Attacks
2022 · Yesmina Jaafra, Christophe Bohn, et al. · European Safety and Reliability Conference (ESREL)
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Attaques Adverses Pour La Robustesse Des Agents Autonomes Appris Par Renforcement
2021 · Schott, Lucas · HAL
Works count: 16
Citation count: 50
H-index: 4
I10-index: 3
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