Thibault Simonetto

According to our database, Thibault Simonetto authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review.

Salijona Dyrmishi, Mohamed Djilani, Thibault Simonetto, Salah Ghamizi, Maxime Cordy

CoRR, June, 2025

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses.

Mohamed Djilani, Thibault Simonetto, Karim Tit, Florian Tambon, Paul Récamier, Salah Ghamizi, Maxime Cordy, Mike Papadakis

CoRR, June, 2025

2024

Enhancing Machine Learning Robustness for Critical Industrial Systems: Constrained Adversarial Attacks and Distribution Drift Solutions.

Thibault Simonetto

PhD thesis, 2024

TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases.

Thibault Simonetto, Salah Ghamizi, Maxime Cordy

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data.

Thibault Simonetto, Salah Ghamizi, Maxime Cordy

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

On the Impact of Industrial Delays when Mitigating Distribution Drifts: An Empirical Study on Real-World Financial Systems.

Thibault Simonetto, Maxime Cordy, Salah Ghamizi, Yves Le Traon, Clément Lefebvre, Andrey Boystov, Anne Goujon

Proceedings of the Discovering Drift Phenomena in Evolving Landscapes, 2024

2023

Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data.

Thibault Simonetto, Salah Ghamizi, Antoine Desjardins, Maxime Cordy, Yves Le Traon

CoRR, 2023

On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks.

Salijona Dyrmishi, Salah Ghamizi, Thibault Simonetto, Yves Le Traon, Maxime Cordy

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

2022

A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space.

Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022