| Chained anomaly detection models for federated learning: An intrusion detection case study D Preuveneers, V Rimmer, I Tsingenopoulos, J Spooren, W Joosen, ... Applied Sciences 8 (12), 2663, 2018 | 317 | 2018 |
| Resource usage and performance trade-offs for machine learning models in smart environments D Preuveneers, I Tsingenopoulos, W Joosen Sensors 20 (4), 1176, 2020 | 49 | 2020 |
| AutoAttacker: A reinforcement learning approach for black-box adversarial attacks I Tsingenopoulos, D Preuveneers, W Joosen 2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2019 | 14 | 2019 |
| Adversarial machine learning CJ Hernández-Castro, Z Liu, A Serban, I Tsingenopoulos, W Joosen Security and Artificial Intelligence: A Crossdisciplinary Approach, 287-312, 2022 | 13 | 2022 |
| Position paper: On advancing adversarial malware generation using dynamic features A Shafiei, V Rimmer, I Tsingenopoulos, L Desmet, W Joosen Proceedings of the 1st Workshop on Robust Malware Analysis, 15-20, 2022 | 6 | 2022 |
| Captcha me if you can: Imitation Games with Reinforcement Learning I Tsingenopoulos, D Preuveneers, L Desmet, W Joosen 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P), 719-735, 2022 | 4 | 2022 |
| Adaptive malware control: Decision-based attacks in the problem space of dynamic analysis I Tsingenopoulos, AM Shafiei, L Desmet, D Preuveneers, W Joosen Proceedings of the 1st Workshop on Robust Malware Analysis, 3-14, 2022 | 2 | 2022 |
| Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses I Tsingenopoulos, V Rimmer, D Preuveneers, F Pierazzi, L Cavallaro, ... arXiv preprint arXiv:2312.13435, 2023 | 1 | 2023 |
| Protection of security solutions that rely on machine learning I Tsingenopoulos, W Joosen, D Preuveneers | | 2024 |
| How to Train your Antivirus: RL-based Hardening through the Problem Space I Tsingenopoulos, J Cortellazzi, B Bošanský, S Aonzo, D Preuveneers, ... Proceedings of the 27th International Symposium on Research in Attacks …, 2024 | | 2024 |
| On Adaptive Decision-Based Attacks and Defenses I Tsingenopoulos, V Rimmer, D Preuveneers, F Pierazzi, L Cavallaro, ... | | |
