Browsing Fakultet for teknologi, kunst og design (TKD) by Subject "Adversarial techniques"
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Evading a Machine Learning-based Intrusion Detection System through Adversarial Perturbations
(RACS: Research in Applied Computation Symposium; RACS '20: International Conference on Research in Adaptive and Convergent Systems, Chapter; Peer reviewed; Conference proceeding, 2020-10)Machine-learning based Intrusion Detection and Prevention Systems provide significant value to organizations because they can efficiently detect previously unseen variations of known threats, new threats related to known ...