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This paper addresses the critical security implications of two converging trends in hardware development: the adoption of heterogeneous 2.5D chiplet systems and the integration of Large Language Models into Electronic Design Automation (EDA) flows. It analyzes how these advancements expand the attack surface across architectural, logical, and physical levels while proposing specific defenses such as physically isolated Root of Trust architectures for chiplets and threat mitigation strategies for LLM-driven design pipelines. The work is essential reading for understanding the evolving intersection of hardware architecture security and AI-assisted engineering workflows.
Hardware Design and Security in the Era of Chiplets and LLMs
arXiv:2608.05063v1 Announce Type: cross Abstract: The semiconductor industry is undergoing a dual revolution: the shift toward heterogeneous 2.5D chiplet systems and the integration of Large Language Models (LLMs) into Electronic Design Automation (EDA) flows. While these paradigms offer unprecedented benefits in yield, modularity, design productivity, etc., they radically expand the hardware attack surface. This paper provides a unified analysis of these frontiers, ranging from attacks on chiplet systems (including hardware stacks for LLM acceleration) across architectural, logical, and physical levels, to various exploits against LLM-driven EDA pipelines. To secure chiplet systems, we review a powerful defense approach that leverages 2.5D split manufacturing and active interposers for physically isolated Root of Trust (RoT) architectures. To secure LLM-driven EDA pipelines, we first identify native threats and then review state-of-the-art defense techniques. Finally, we discuss how LLM systems can advance hardware security efforts for modern systems, including chiplets.
Abstract:The semiconductor industry is undergoing a dual revolution: the shift toward heterogeneous 2.5D chiplet systems and the integration of Large Language Models (LLMs) into Electronic Design Automation (EDA) flows. While these paradigms offer unprecedented benefits in yield, modularity, design productivity, etc., they radically expand the hardware attack surface. This paper provides a unified analysis of these frontiers, ranging from attacks on chiplet systems (including hardware stacks for LLM acceleration) across architectural, logical, and physical levels, to various exploits against LLM-driven EDA pipelines. To secure chiplet systems, we review a powerful defense approach that leverages 2.5D split manufacturing and active interposers for physically isolated Root of Trust (RoT) architectures. To secure LLM-driven EDA pipelines, we first identify native threats and then review state-of-the-art defense techniques. Finally, we discuss how LLM systems can advance hardware security efforts for modern systems, including chiplets.
Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI); Hardware Architecture (cs.AR)
arXiv:2608.05063 [cs.CR]
(or arXiv:2608.05063v1 [cs.CR] for this version)
https://doi.org/10.48550/arXiv.2608.05063 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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