Kucharski, PrzemysławŚlot, Krzysztof2023-09-212023-09-212023Kucharski P., Ślot K., Towards Detection of Unknown Polymorphic Patterns Using Prior Knowledge. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 131-136, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.19.978-83-66741-92-8http://hdl.handle.net/11652/4795https://doi.org/10.34658/9788366741928.19The presented paper proposes a novel approach for detecting unknown polymorphic patterns in sequences composed of random symbols and of known polymorphic patterns. We propose to represent rules that drive pattern generation as regular expressions. To detect unknown patterns, we first incorporate knowledge on known rules into a Convolutional Autoencoder (CAE), then we train the CAE with additional objective to prevent weights from learning the already known patterns. Analysis of training results provides statistically significant information on presence or absence of polymorphic patterns that were not previously known.enDla wszystkich w zakresie dozwolonego użytkuFair use conditionpolymorphic pattern detectionknowledge and learning integrationConvolutional Autoencoderwykrywanie wzorców polimorficznychintegracja wiedzy i uczenia sięautoenkoder konwolucyjnyRozdział - monografiaLicencja PŁLUT License10.34658/9788366741928.19