MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles. - Yuejun Guo 001; Qiang Hu; Maxime Cordy; Michail Papadakis; Yves Le Traon (CoRR, 2021)

On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices. - Salah Ghamizi; Maxime Cordy; Michail Papadakis; Yves Le Traon (CoRR, 2022)

Enabling Qualified Anonymity for Enhanced User Privacy in the Digital Era. - Vaios Bolgouras; Kostantinos Papadamou; Ioana Stroinea; Michail Papadakis; George Gugulea; Michael Sirivianos; Christos Xenakis (ARES, 2023)

Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models. - Christos Christodoulou; Nikos Salamanos; Pantelitsa Leonidou; Michail Papadakis; Michael Sirivianos (CoRR, 2023)

DRE: density-based data selection with entropy for adversarial-robust deep learning models. - Yuejun Guo 001; Qiang Hu; Maxime Cordy; Michail Papadakis; Yves Le Traon (Neural Comput. Appl., 2023)

Modeling and In-flight Torso Attitude Stabilization of a Jumping Quadruped. - Michail Papadakis; Jørgen Anker Olsen; Ioannis Poulakakis; Kostas Alexis (CoRR, 2024)

Latent Mutants: A large-scale study on the Interplay between mutation testing and software evolution. - Jeongju Sohn; Ezekiel O. Soremekun; Michail Papadakis (CoRR, 2025)