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1 Ergebnisse
1
Learning from Limited Heterogeneous Training Data: Meta-Lea..:
, In:
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
,
Li, Peiyang
;
Wang, Ye
;
Li, Qi
... - p. 1020-1034 , 2023
Link:
https://dl.acm.org/doi/10.1145/3576915.3623123
RT T1 <cTitle>Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security</cTitle>: T1 <Title>Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3623123&Exemplar=1&LAN=DE A1 Li, Peiyang A1 Wang, Ye A1 Li, Qi A1 Liu, Zhuotao A1 Xu, Ke A1 Ren, Ju A1 Liu, Zhiying A1 Lin, Ruilin PB ACM YR 2023 K1 meta-learning K1 web attack detection K1 zero-day attacks K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation K1 Intrusion detection systems SP 1020 OP 1034 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3576915.3623123 DO https://dl.acm.org/doi/10.1145/3576915.3623123 SF ELIB - SuUB Bremen
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