Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer (2023), SoK: Explainable Machine Learning for Computer Security Applications, Lisa O’Conner (Eds.), In Proceedings of the 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P) p.221-240, IEEE.

Yingqian Zhang, Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Robbert Reijnen, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, More Authors (2023), The first AI4TSP competition: Learning to solve stochastic routing problems, In Artificial Intelligence Volume 319.

A. Nadeem, S.E. Verwer, Stephen Moskal, Shanchieh Jay Yang (2022), Alert-driven Attack Graph Generation using S-PDFA, In IEEE Transactions on Dependable and Secure Computing Volume 19 p.731-746.

Ligia Maria Moreira Zorello, Laurens Bliek, Sebastian Troia, Tias Guns, Sicco Verwer, Guido Maier (2022), Baseband-Function Placement with Multi-Task Traffic Prediction for 5G Radio Access Networks, In IEEE Transactions on Network and Service Management Volume 19 p.5104 - 5119.

A. Nadeem, Vera Rimmer, Joosen Wouter, S.E. Verwer (2022), Intelligent Malware Defenses, In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) p.217-253, Springer.

Clinton Cao, Agathe Blaise, Sicco Verwer, Filippo Rebecchi (2022), Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster, In Proceedings of the 17th International Conference on Availability, Reliability and Security, ARES 2022, Association for Computing Machinery (ACM).

R. Baumgartner, S.E. Verwer (2022), Learning state machines via efficient hashing of future traces.

Vera Rimmer, Azqa Nadeem, Sicco Verwer, Davy Preuveneers, Wouter Joosen (2022), Open-World Network Intrusion Detection, In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) p.254-283, Springer.

A. Nadeem, C.A. Hammerschmidt, C. Hernandez Ganan, S.E. Verwer (2021), Beyond Labeling: Using Clustering to Build Network Behavioral Profiles of Malware Families, Andrii Shalaginov, Mark Stamp, Mamoun Alazab (Eds.), In Malware Analysis using Artificial Intelligence and Deep Learning p.381-409, Springer.

Laurens Bliek, Arthur Guijt, Sicco Verwer, Mathijs De Weerdt (2021), Black-box mixed-variable optimisation using a surrogate model that satisfies integer constraints, In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion p.1851-1859, Association for Computing Machinery (ACM).