CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models
Description
This repository contains prompts generated by CodeIPPrompt, a platform used to assess potential intellectual property infringement risks associated with the output of code language models. The source code of the platform can be found at our GitHub repository: https://github.com/zh1yu4nyu/CodeIPPrompt. Detailed information regarding the datasets, as well as usage instructions, can be found in the README.md file.
The paper has been accepted by International Conference on Machine Learning (ICML) 2023. If you find this work helpful, please cite us as follows:
@inproceedings{yu2023codeipprompt,
title={CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models},
author={Yu, Zhiyuan and Wu, Yuhao and Zhang, Ning and Wang, Chenguang and Vorobeychik, Yevgeniy and Xiao, Chaowei},
booktitle={International Conference on Machine Learning},
year={2023},
organization={PMLR}
}
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Project website: https://sites.google.com/view/codeipprompt
This work focuses on the intellectual property of programs generated by code language models. As we are careful regarding the usage of our datasets and code, please indicate your purposes with the dataset as well as your contact information. Thank you!
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Additional details
References
- Yu, Zhiyuan et al., "Codeipprompt: Intellectual property infringement assess- ment of code language models," in International conference on machine learning, PMLR, 2023