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1 Ergebnisse
1
Evaluation of Ensemble Learning Models for Hardware-Trojan ..:
, In:
2024 IEEE International Conference on Consumer Electronics (ICCE)
,
Negishi, Ryotaro
;
Togawa, Nozomu
- p. 1-6 , 2024
Link:
https://doi.org/10.1109/ICCE59016.2024.10444240
RT T1 <cTitle>2024 IEEE International Conference on Consumer Electronics (ICCE)</cTitle>: T1 <Title>Evaluation of Ensemble Learning Models for Hardware-Trojan Identification at Gate-level Netlists</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10444240&Exemplar=1&LAN=DE A1 Negishi, Ryotaro A1 Togawa, Nozomu YR 2024 SN 2158-4001 K1 Intellectual property K1 Logic gates K1 Feature extraction K1 Hardware K1 Ensemble learning K1 Trojan horses K1 Random forests K1 hardware Trojan K1 hardware security K1 netlist K1 machine learning K1 ensemble learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICCE59016.2024.10444240 DO https://doi.org/10.1109/ICCE59016.2024.10444240 SF ELIB - SuUB Bremen
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