Evolutionary Large Language Models for Hardware Security: A Comparative Survey

Author:

Akyash Mohammad1ORCID,M Kamali Hadi2ORCID

Affiliation:

1. University of Central Florida, USA

2. Electrical and Computer Engineering, University of Central Florida, USA

Publisher

ACM

Reference42 articles.

1. A. Desai et al.2016. Program synthesis using natural language. In International Conference on Software Engineering. 345–356.

2. Development of superconductor advanced integrated circuit design flow using synopsys tools;Inamdar A.;IEEE Transactions on Applied Superconductivity,2021

3. B. Ahmad et al.2024. On Hardware Security Bug Code Fixes By Prompting Large Language Models. IEEE Transactions on Information Forensics and Security (2024).

4. E. Nijkamp et al.2022. Codegen: An open large language model for code with multi-turn program synthesis. arXiv preprint arXiv:2203.13474 (2022).

5. D. Saha et al.2023. LLM for SoC Security: A Paradigm Shift. arxiv:2310.06046 [cs.CR]

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LASP: LLM Assisted Security Property Generation for SoC Verification;Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD;2024-09-09

2. The potential of LLMs in hardware design;Journal of Engineering Research;2024-08

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