LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations-Reference-Cited by-同舟云学术

LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)
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Author:

Tony Catherine¹,Mutas Markus¹,Ferreyra Nicolás E. Díaz¹,Scandariato Riccardo¹

Affiliation:

1. Hamburg University of Technology,Institute of Software Security,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10173934/10173935/10174231.pdf?arnumber=10174231

Reference18 articles.

1. Examining zero-shot vulnerability repair with large language models;pearce;2023 2023 IEEE Symposium on Security and Privacy (SP)(SP),2023

2. Asleep at the keyboard? assessing the security of github copilot’s code contributions;pearce;43rd IEEE Symposium on Security and Privacy SP 2022 San Francisco CA USA May 22-26 2022,2022

3. Correlating Automated and Human Evaluation of Code Documentation Generation Quality

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