Hardware Security

Hardware security research focuses on protecting integrated circuits from malicious attacks, such as hardware Trojans and intellectual property theft. Current efforts leverage machine learning, particularly graph neural networks and large language models, along with quantum computing approaches, to detect anomalies, identify vulnerabilities, and enhance authentication mechanisms. These advancements are crucial for ensuring the trustworthiness and reliability of hardware systems across various sectors, from consumer electronics to critical infrastructure, by improving detection capabilities and developing more robust security protocols.