juwel07/formai-v2-full
Dataset Card for Dataset Name Lanuage model generated c code with security vulnerabilities From Dataset Sources [optional] Repository: https://github.com/FormAI-Dataset/FormAI-dataset/?tab=readme-ov-file Paper: https://dl.acm.org/doi/10.1145/3617555.3617874 Citation [optional] BibTeX: @inproceedings{10.1145/3617555.3617874, author = {Tihanyi, Norbert and Bisztray, Tamas and Jain, Ridhi and Ferrag, Mohamed Amine and Cordeiro, Lucas C. and… See the full description on the dataset page: https://huggingface.co/datasets/juwel07/formai-v2-full.
Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. --> Lanuage model generated c code with security vulnerabilities From
Dataset Sources [optional]
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- Repository: https://github.com/FormAI-Dataset/FormAI-dataset/?tab=readme-ov-file
- Paper: https://dl.acm.org/doi/10.1145/3617555.3617874
Citation [optional]
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BibTeX: @inproceedings{10.1145/3617555.3617874, author = {Tihanyi, Norbert and Bisztray, Tamas and Jain, Ridhi and Ferrag, Mohamed Amine and Cordeiro, Lucas C. and Mavroeidis, Vasileios}, title = {The FormAI Dataset: Generative AI in Software Security through the Lens of Formal Verification}, year = {2023}, isbn = {9798400703751}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3617555.3617874}, doi = {10.1145/3617555.3617874}, booktitle = {Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering}, pages = {33–43}, numpages = {11}, keywords = {Artificial Intelligence, Dataset, Formal Verification, Large Language Models, Software Security, Vulnerability Classification}, location = {<conf-loc>, <city>San Francisco</city>, <state>CA</state>, <country>USA</country>, </conf-loc>}, series = {PROMISE 2023} }
