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Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering
March 20, 2024, 4:11 a.m. | Jakub Res, Ivan Homoliak, Martin Pere\v{s}\'ini, Ale\v{s} Smr\v{c}ka, Kamil Malinka, Petr Hanacek
cs.CR updates on arXiv.org arxiv.org
Abstract: AI assistants for coding are on the rise. However one of the reasons developers and companies avoid harnessing their full potential is the questionable security of the generated code. This paper first reviews the current state-of-the-art and identifies areas for improvement on this issue. Then, we propose a systematic approach based on prompt-altering methods to achieve better code security of (even proprietary black-box) AI-based code generators such as GitHub Copilot, while minimizing the complexity of …
ai assistants art arxiv code coding companies copilot cs.ai cs.cr current developers engineering generated github github copilot improvement prompt prompt-engineering reviews security state
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