Hardware Trojan detection techniques have been studied extensively. However, to develop
reliable and effective defenses, it is important to figure out how hardware Trojans are …

Diverse and wide-range applications of integrated circuits (ICs) and the development of
Cyber Physical System (CPS), more and more third-party manufacturers are involved in the …

Anomaly detection in surveillance videos is attracting an increasing amount of attention.
Despite the competitive performance of recent methods, they lack theoretical performance …

Malicious modifications to printed circuit boards (PCBs) are known as hardware Trojans.
These may arise when malafide third parties alter PCBs premanufacturing or …

The ever-increasing demand for sophisticated cyber-physical systems (CPS), combined with
the fabless model, led to vulnerability exploits in the IC supply chain, especially the insertion …

In this paper, we address the problem of detecting and learning anomalies in high-
dimensional data-streams in real-time. Following a data-driven approach, we propose an …

Convolutional neural networks (CNNs) have demonstrated significant superiority in modern
artificial intelligence (AI) applications. To accelerate the inference process of CNNs …

Semiconductor supply chain vulnerability is a major concern in designing trustworthy
systems. Malicious implants, popularly known as hardware Trojans (HTs), can get …

针对恶意的第三方厂商在电路设计阶段中植入硬件木马的问题, 该文提出一种基于XGBoost
的混合模式门级硬件木马检测方法. 该检测方法将电路的每个线网类型作为节点, 采用混合模式3 …

Coping with the problem of malicious third‐party vendors implanting Hardware Trojan (HT)
in the circuit design stage, this paper proposes a hybrid‐mode gate‐level hardware Trojan …