Presentation
New Innovation Frontier with Large Language Models for SoC Security
DescriptionAs complex SoCs become prevalent in virtually all systems, these devices also present a primary attack surface. The risks of cyberattacks are real, and AI is making them more sophisticated. As we also deploy AI into the SoC design process, it is imperative that secure design practices are incorporated as well.
Existing security solutions are inadequate to provide effective verification of complex SoC designs due to their limitations in scalability, comprehensiveness, and adaptability. Large Language Models (LLMs) are celebrated for their remarkable success in natural language understanding, advanced reasoning, and program synthesis tasks.
Recognizing this opportunity, we propose leveraging the emergent capabilities of Generative Pre-trained Transformers (GPTs) to address the existing gaps in SoC security, aiming for a more efficient, scalable, and adaptable methodology. In this presentation we offer an in-depth analysis of existing work, showcasing achievements, prospects, and challenges of employing LLMs in SoC security design and verification tasks.
Existing security solutions are inadequate to provide effective verification of complex SoC designs due to their limitations in scalability, comprehensiveness, and adaptability. Large Language Models (LLMs) are celebrated for their remarkable success in natural language understanding, advanced reasoning, and program synthesis tasks.
Recognizing this opportunity, we propose leveraging the emergent capabilities of Generative Pre-trained Transformers (GPTs) to address the existing gaps in SoC security, aiming for a more efficient, scalable, and adaptable methodology. In this presentation we offer an in-depth analysis of existing work, showcasing achievements, prospects, and challenges of employing LLMs in SoC security design and verification tasks.
Presenter
Event Type
SKYTalk
TimeTuesday, June 241:00pm - 1:45pm PDT
LocationDAC Pavilion, Level 2 Exhibit Hall