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1 Ergebnisse
1
FUR-API: Dataset and Baselines Toward Realistic API Anomaly..:
, In:
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Liu, Yijun
;
Yu, Honglan
;
Dai, Feifei
... - p. 4525-4529 , 2024
Link:
https://doi.org/10.1109/ICASSP48485.2024.10446512
RT T1 <cTitle>ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>FUR-API: Dataset and Baselines Toward Realistic API Anomaly Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10446512&Exemplar=1&LAN=DE A1 Liu, Yijun A1 Yu, Honglan A1 Dai, Feifei A1 Gu, Xiaoyan A1 Cui, Chenxu A1 Li, Bo A1 Wang, Weiping YR 2024 SN 2379-190X K1 Filtering K1 Benchmark testing K1 Signal processing K1 Data models K1 Safety K1 Iterative methods K1 Task analysis K1 Data security K1 API anomaly detection K1 Large language model SP 4525 OP 4529 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP48485.2024.10446512 DO https://doi.org/10.1109/ICASSP48485.2024.10446512 SF ELIB - SuUB Bremen
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