AutoAttacker: A reinforcement learning approach for black-box adversarial attacks. - Ilias Tsingenopoulos; Davy Preuveneers; Wouter Joosen (EuroS&P Workshops, 2019)

Resource Usage and Performance Trade-offs for Machine Learning Models in Smart Environments. - Davy Preuveneers; Ilias Tsingenopoulos; Wouter Joosen (Sensors, 2020)

Captcha me if you can: Imitation Games with Reinforcement Learning. - Ilias Tsingenopoulos; Davy Preuveneers; Lieven Desmet; Wouter Joosen (EuroS&P, 2022)

Position Paper: On Advancing Adversarial Malware Generation Using Dynamic Features. - Ali Mohammad Shafiei; Vera Rimmer; Ilias Tsingenopoulos; Lieven Desmet; Wouter Joosen (WoRMA@AsiaCCS, 2022)

Adaptive Malware Control: Decision-Based Attacks in the Problem Space of Dynamic Analysis. - Ilias Tsingenopoulos; Ali Mohammad Shafiei; Lieven Desmet; Davy Preuveneers; Wouter Joosen (WoRMA@AsiaCCS, 2022)

Adversarial Machine Learning. - Carlos Javier Hernández-Castro; Zhuoran Liu 001; Alex Serban; Ilias Tsingenopoulos; Wouter Joosen (Security and Artificial Intelligence, 2022)

Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses. - Ilias Tsingenopoulos; Vera Rimmer; Davy Preuveneers; Fabio Pierazzi; Lorenzo Cavallaro; Wouter Joosen (CoRR, 2023)

How to Train your Antivirus: RL-based Hardening through the Problem Space. - Ilias Tsingenopoulos; Jacopo Cortellazzi; Branislav Bosanský; Simone Aonzo; Davy Preuveneers; Wouter Joosen; Fabio Pierazzi; Lorenzo Cavallaro (RAID, 2024)