A framework for hardware trojan detection based on contrastive learning
Abstract With the rapid development of the semiconductor industry, Hardware Trojans (HT) as a kind of malicious function that can be implanted at will in all processes of integrated circuit design, manufacturing, and deployment have become a great threat in the field of hardware security.Side-channel analysis is widely used in the detection of HT d