Mahmoud Zamani, Saquib Irtiza, Latifur Khan, Kevin W. Hamlen. VulMAE: Graph Masked Autoencoders for Vulnerability Detection from Source and Binary Codes. In Mohamed Mosbah 0001, Florence Sèdes, Nadia Tawbi, Toufik Ahmed, Nora Boulahia-Cuppens, Joaquín García-Alfaro, editors, Foundations and Practice of Security - 16th International Symposium, FPS 2023, Bordeaux, France, December 11-13, 2023, Revised Selected Papers, Part I. Volume 14551 of Lecture Notes in Computer Science, pages 191-207, Springer, 2023. [doi]
@inproceedings{ZamaniIKH23,
title = {VulMAE: Graph Masked Autoencoders for Vulnerability Detection from Source and Binary Codes},
author = {Mahmoud Zamani and Saquib Irtiza and Latifur Khan and Kevin W. Hamlen},
year = {2023},
doi = {10.1007/978-3-031-57537-2_12},
url = {https://doi.org/10.1007/978-3-031-57537-2_12},
researchr = {https://researchr.org/publication/ZamaniIKH23},
cites = {0},
citedby = {0},
pages = {191-207},
booktitle = {Foundations and Practice of Security - 16th International Symposium, FPS 2023, Bordeaux, France, December 11-13, 2023, Revised Selected Papers, Part I},
editor = {Mohamed Mosbah 0001 and Florence Sèdes and Nadia Tawbi and Toufik Ahmed and Nora Boulahia-Cuppens and Joaquín García-Alfaro},
volume = {14551},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-57537-2},
}