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1 Ergebnisse
1
Noisy Label Detection for Multi-labeled Malware:
, In:
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)
,
Fukushi, Naoki
;
Shibahara, Toshiki
;
Nakano, Hiroki
.. - p. 165-171 , 2024
Link:
https://doi.org/10.1109/CCNC51664.2024.10454810
RT T1 <cTitle>2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)</cTitle>: T1 <Title>Noisy Label Detection for Multi-labeled Malware</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10454810&Exemplar=1&LAN=DE A1 Fukushi, Naoki A1 Shibahara, Toshiki A1 Nakano, Hiroki A1 Koide, Takashi A1 Chiba, Daiki YR 2024 SN 2331-9860 K1 Machine learning K1 Predictive models K1 Malware K1 Reliability K1 Noise measurement K1 Security K1 Labeling K1 noisy label K1 malware dataset K1 machine learning SP 165 OP 171 LK http://dx.doi.org/https://doi.org/10.1109/CCNC51664.2024.10454810 DO https://doi.org/10.1109/CCNC51664.2024.10454810 SF ELIB - SuUB Bremen
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