CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models

<p>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:&nbsp;<a href="https://github.com/zh1yu4nyu/CodeIPPrompt">https://github.com/zh1yu4nyu/CodeIPPrompt</a>. Detailed information regarding the datasets, as well as usage instructions, can be found in the README.md file.</p> <p>The paper has been accepted by&nbsp;International Conference on Machine Learning (ICML) 2023. If you find this work helpful, please cite us as follows:</p> <pre><code class="language-markdown">@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} }</code></pre>