2 citations · 2 across the 3 of their papers we have counts for
4 papers
Hardware-Assisted Multi-Stage Ransomware Detection with Adaptive Machine Learning
Salma Aboelmagd, Md. Rakibul Ahasan, Zhixin Pan +2
Ransomware is a fast-escalating privacy threat causing significant financial and data losses worldwide. As attacks grow more sophisticated, traditional static signatures and dynami…
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…
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…
SDIP: Self-Reinforcement Deep Image Prior Framework for Image Processing
Ziyu Shu, Zhixin Pan
Deep image prior (DIP) proposed in recent research has revealed the inherent trait of convolutional neural networks (CNN) for capturing substantial low-level image statistics prior…