On Hardware Security Bug Code Fixes by Prompting Large Language Models

Author:

Ahmad Baleegh1ORCID,Thakur Shailja1ORCID,Tan Benjamin2ORCID,Karri Ramesh1ORCID,Pearce Hammond3ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, New York University Tandon School of Engineering, Brooklyn, NY, USA

2. Department of Electrical and Software Engineering, University of Calgary, Calgary, AB, Canada

3. Department of Electrical and Computer Engineering, University of New South Wales, Sydney, NSW, Australia

Funder

Intel Corporation

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference38 articles.

1. Automated program repair

2. Don't CWEAT It

3. Fuzzing hardware like software;Trippel;arXiv:2102.02308,2021

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1. On the Effectiveness of Large Language Models for GitHub Workflows;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

2. Evolutionary Large Language Models for Hardware Security: A Comparative Survey;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

3. Navigating SoC Security Landscape on LLM-Guided Paths;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

4. Empowering Hardware Security with LLM: The Development of a Vulnerable Hardware Database;2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST);2024-05-06

5. VeriGen: A Large Language Model for Verilog Code Generation;ACM Transactions on Design Automation of Electronic Systems;2024-04-22

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