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SoK: Explainable Machine Learning for Computer Security Applications


Aug 22, 2022
Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer

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* 13 pages, 4 figures, 3 tables. Currently under review 

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Encoding NetFlows for State-Machine Learning


Jul 08, 2022
Clinton Cao, Annibale Panichella, Sicco Verwer, Agathe Blaise, Filippo Rebecchi

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* 19 pages, 6 figures 

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Learning state machines via efficient hashing of future traces


Jul 04, 2022
Robert Baumgartner, Sicco Verwer

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SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting


Jun 24, 2022
Azqa Nadeem, Sicco Verwer

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* Accepted to appear in ECML/PKDD 2022 

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Robust Attack Graph Generation


Jun 15, 2022
Dennis Mouwen, Sicco Verwer, Azqa Nadeem

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* Appeared at LearnAut '22 

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FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata


Mar 28, 2022
Sicco Verwer, Christian Hammerschmidt

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The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems


Jan 25, 2022
Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Yingqian Zhang, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki

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* 21 pages 

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Robust Optimal Classification Trees Against Adversarial Examples


Sep 08, 2021
Daniël Vos, Sicco Verwer

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SAGE: Intrusion Alert-driven Attack Graph Extractor


Jul 06, 2021
Azqa Nadeem, Sicco Verwer, Stephen Moskal, Shanchieh Jay Yang

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* Accepted to appear in the 1st KDD Workshop on AI-enabled Cybersecurity Analytics (AI4cyber), 2021 

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EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions


Jun 08, 2021
Laurens Bliek, Arthur Guijt, Rickard Karlsson, Sicco Verwer, Mathijs de Weerdt

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* 13 pages 

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