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cs.CR2025
SAND: A Self-supervised and Adaptive NAS-Driven Framework for Hardware Trojan Detection
Zhixin Pan, Ziyu Shu, Linh Nguyen +1
The globalized semiconductor supply chain has made Hardware Trojans (HT) a significant security threat to embedded systems, necessitating the design of efficient and adaptable dete…
cs.CR2025
Towards Low-Latency and Adaptive Ransomware Detection Using Contrastive Learning
Zhixin Pan, Ziyu Shu, Amberbir Alemayoh
Ransomware has become a critical threat to cybersecurity due to its rapid evolution, the necessity for early detection, and growing diversity, posing significant challenges to trad…