Search Results for author: Martin Perešíni

Found 1 papers, 0 papers with code

Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering

no code implementations19 Mar 2024 Jakub Res, Ivan Homoliak, Martin Perešíni, Aleš Smrčka, Kamil Malinka, Petr Hanacek

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 the application from the user point-of-view, the computational resources, and operational costs.

Prompt Engineering

Cannot find the paper you are looking for? You can Submit a new open access paper.