Eintrag in der Universitätsbibliographie der TU Chemnitz
Nowroozi, Ehsan ; Taheri, Rahim ; Hajizadeh, Mehrdad* ; Bauschert, Thomas
Verifying the Robustness of Machine Learning based Intrusion Detection Against Adversarial Perturbation
| Universität: | Technische Universität Chemnitz | |
| Institut: | Professur Kommunikationsnetze | |
| Dokumentart: | Konferenzbeitrag, referiert | |
| ISBN/ISSN: | Electronic ISBN: 979-8-3503-7536-7 ; Print on Demand(PoD) ISBN: 979-8-3503-7537-4 | |
| DOI: | doi:10.1109/csr61664.2024.10679401 | |
| URL/URN: | https://ieeexplore.ieee.org/abstract/document/10679401 | |
| Quelle: | IEEE International Conference on Cyber Security and Resilience, 02-04 September 2024 ,London, United Kingdom, 9-15. - IEEE, 2024 | |
| Freie Schlagwörter (Englisch): | Cybersecurity , Neural Network Security , Adver-sarial Robustness , Intrusion Detection System , Formal Verification , Robustness , Deep Learning |
