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1 Ergebnisse
1
Systematically Evaluating the Robustness of ML-based IoT Ma..:
, In:
Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses
,
Abusnaina, Ahmed
;
Anwar, Afsah
;
Alshamrani, Sultan
... - p. 308-320 , 2022
Link:
https://dl.acm.org/doi/10.1145/3545948.3545960
RT T1 <cTitle>Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses</cTitle>: T1 <Title>Systematically Evaluating the Robustness of ML-based IoT Malware Detection Systems</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3545960&Exemplar=1&LAN=DE A1 Abusnaina, Ahmed A1 Anwar, Afsah A1 Alshamrani, Sultan A1 Alabduljabbar, Abdulrahman A1 Jang, RhongHo A1 Nyang, DaeHun A1 Mohaisen, David PB ACM YR 2022 K1 Adversarial Machine Learning K1 Robust Malware Detection K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation K1 Malware and its mitigation SP 308 OP 320 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3545948.3545960 DO https://dl.acm.org/doi/10.1145/3545948.3545960 SF ELIB - SuUB Bremen
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