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cs.CR2025

Large Language Models and Attention-Based AI for Hardware Design and Security: Progress, Challenges, and Opportunities

Sujan Ghimire, Parsa Mirfasihi, Muhtasim Alam Chowdhury +9

Recent advances in attention-based artificial intelligence (AI) models have unlocked vast potential to automate digital hardware design while enhancing and strengthening security m…

cs.CR2025

LASHED: LLMs And Static Hardware Analysis for Early Detection of RTL Bugs

Baleegh Ahmad, Hammond Pearce, Ramesh Karri +1

While static analysis is useful in detecting early-stage hardware security bugs, its efficacy is limited because it requires information to form checks and is often unable to expla…

cs.CR2024

OffRAMPS: An FPGA-based Intermediary for Analysis and Modification of Additive Manufacturing Control Systems

Jason Blocklove, Md Raz, Prithwish Basu Roy +4

Cybersecurity threats in Additive Manufacturing (AM) are an increasing concern as AM adoption continues to grow. AM is now being used for parts in the aerospace, transportation, an…

cs.CR2024

(Security) Assertions by Large Language Models

Rahul Kande, Hammond Pearce, Benjamin Tan +4

The security of computer systems typically relies on a hardware root of trust. As vulnerabilities in hardware can have severe implications on a system, there is a need for techniqu…

cs.CR2024

REMaQE: Reverse Engineering Math Equations from Executables

Meet Udeshi, Prashanth Krishnamurthy, Hammond Pearce +2

Cybersecurity attacks on embedded devices for industrial control systems and cyber-physical systems may cause catastrophic physical damage as well as economic loss. This could be a…