Generate and Pray: Using SALLMS to Evaluate the Security: Conclusion & References

This paper is available on arxiv under CC 4.0 license. Authors: (1) Mohammed Latif Siddiq, Department of Computer Science and Engineering, University of Notre Dame, Notre Dame; (2) Joanna C. S. Santos, Department of Computer Science and Engineering, University of Notre Dame, Notre Dame. Table of Links Abstract & Introduction Background and Motivation Our Framework: SALLM Experiments Results Limitations and Threats to the Validity Related Work Conclusion & References 8 Conclusion In this study, we introduce SALLM, a platform designed specifically for evaluating the capability of LLMs to produce secure code. This platform consists of three key elements: a unique dataset filled with security-focused Python prompts, a testing environment for the code produced, and novel metrics to assess model output. Through our research, we utilized the SALLM framework to assess 5 different LLMs. References [1] Stack Overflow Developer Survey 2021, August 2022. [Online; accessed 28. Aug. 2022]. 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