HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks. - Florian Tambon; Giulio Antoniol; Foutse Khomh (CoRR, 2021)

How to certify machine learning based safety-critical systems? A systematic literature review. - Florian Tambon; Gabriel Laberge; Le An; Amin Nikanjam; Paulina Stevia Nouwou Mindom; Yann Pequignot; Foutse Khomh; Giulio Antoniol; Ettore Merlo; François Laviolette (Autom. Softw. Eng., 2022)

Mutation Testing of Deep Reinforcement Learning Based on Real Faults. - Florian Tambon; Vahid Majdinasab; Amin Nikanjam; Foutse Khomh; Giuliano Antoniol (ICST, 2023)

GIST: Generated Inputs Sets Transferability in Deep Learning. - Florian Tambon; Foutse Khomh; Giuliano Antoniol (CoRR, 2023)

A probabilistic framework for mutation testing in deep neural networks. - Florian Tambon; Foutse Khomh; Giuliano Antoniol (Inf. Softw. Technol., 2023)

Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs. - Sylvain Kouemo Ngassom; Arghavan Moradi Dakhel; Florian Tambon; Foutse Khomh (AIware, 2024)

Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends. - Mina Taraghi; Gianolli Dorcelus; Armstrong Foundjem; Florian Tambon; Foutse Khomh (SANER, 2024)

Assessing Programming Task Difficulty for Efficient Evaluation of Large Language Models. - Florian Tambon; Amin Nikanjam; Foutse Khomh; Giuliano Antoniol (CoRR, 2024)

Bug characterization in machine learning-based systems. - Mohammad Mehdi Morovati; Amin Nikanjam; Florian Tambon; Foutse Khomh; Zhen Ming (Jack) Jiang (Empir. Softw. Eng., 2024)

Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow. - Florian Tambon; Amin Nikanjam; Le An; Foutse Khomh; Giuliano Antoniol (Empir. Softw. Eng., 2024)

Common challenges of deep reinforcement learning applications development: an empirical study. - Mohammad Mehdi Morovati; Florian Tambon; Mina Taraghi; Amin Nikanjam; Foutse Khomh (Empir. Softw. Eng., 2024)

GIST: Generated Inputs Sets Transferability in Deep Learning. - Florian Tambon; Foutse Khomh; Giuliano Antoniol (ACM Trans. Softw. Eng. Methodol., 2024)

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, 2025)

Bugs in large language models generated code: an empirical study. - Florian Tambon; Arghavan Moradi Dakhel; Amin Nikanjam; Foutse Khomh; Michel C. Desmarais; Giuliano Antoniol (Empir. Softw. Eng., 2025)