Nong, Yu, Ou, Yuzhe, Pradel, Michael, Chen, Feng, and Cai, Haipeng. Generating realistic vulnerabilities via neural code editing: an empirical study. Retrieved from https://par.nsf.gov/biblio/10408443. Proceedings of ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022) . Web. doi:10.1145/3540250.3549128.

Nong, Yu, Ou, Yuzhe, Pradel, Michael, Chen, Feng, & Cai, Haipeng. Generating realistic vulnerabilities via neural code editing: an empirical study. Proceedings of ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022), (). Retrieved from https://par.nsf.gov/biblio/10408443. https://doi.org/10.1145/3540250.3549128

Nong, Yu, Ou, Yuzhe, Pradel, Michael, Chen, Feng, and Cai, Haipeng. "Generating realistic vulnerabilities via neural code editing: an empirical study". Proceedings of ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022) (). Country unknown/Code not available. https://doi.org/10.1145/3540250.3549128. https://par.nsf.gov/biblio/10408443.

@article{osti_10408443,
place = {Country unknown/Code not available}, title = {Generating realistic vulnerabilities via neural code editing: an empirical study}, url = {https://par.nsf.gov/biblio/10408443}, DOI = {10.1145/3540250.3549128}, abstractNote = {}, journal = {Proceedings of ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022)}, author = {Nong, Yu and Ou, Yuzhe and Pradel, Michael and Chen, Feng and Cai, Haipeng}, }