Security Closure

Security closure encompasses methods for ensuring the reliability and trustworthiness of systems, ranging from integrated circuits to complex simulations. Current research focuses on developing robust algorithms and models, such as logic locking and layout hardening for IC security, and machine learning techniques (e.g., neural networks, Gaussian processes) for closure modeling in fluid dynamics and other complex systems. These advancements aim to improve the accuracy and efficiency of predictions, enhance security against malicious attacks, and enable more reliable operation of various technological systems. The ultimate goal is to achieve a higher degree of confidence in the integrity and performance of these systems.