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1 Ergebnisse
1
Semi-supervised Trojan Nets Classification Using Anomaly De..:
, In:
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
,
Lo, Pei-Yu
;
Chen, Chi-Wei
;
Hsu, Wei-Ting
... - p. 2423-2427 , 2022
Link:
https://doi.org/10.1109/ISCAS48785.2022.9937236
RT T1 <cTitle>2022 IEEE International Symposium on Circuits and Systems (ISCAS)</cTitle>: T1 <Title>Semi-supervised Trojan Nets Classification Using Anomaly Detection Based on SCOAP Features</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9937236&Exemplar=1&LAN=DE A1 Lo, Pei-Yu A1 Chen, Chi-Wei A1 Hsu, Wei-Ting A1 Chen, Chih-Wei A1 Tien, Chin-Wei A1 Kuo, Sy-Yen YR 2022 SN 2158-1525 K1 Integrated circuits K1 Training K1 Supervised learning K1 Logic gates K1 Feature extraction K1 Hardware K1 Trojan horses K1 hardware security K1 hardware Trojan K1 gate-level K1 testability K1 machine learning K1 anomaly detection SP 2423 OP 2427 LK http://dx.doi.org/https://doi.org/10.1109/ISCAS48785.2022.9937236 DO https://doi.org/10.1109/ISCAS48785.2022.9937236 SF ELIB - SuUB Bremen
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