Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection

Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung. Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection. In Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan, editors, Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I. Volume 12084 of Lecture Notes in Computer Science, pages 699-711, Springer, 2020. [doi]

@inproceedings{NguyenLVMGP20,
  title = {Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection},
  author = {Van Nguyen and Trung Le and Olivier Y. de Vel and Paul Montague and John C. Grundy and Dinh Phung},
  year = {2020},
  doi = {10.1007/978-3-030-47426-3_54},
  url = {https://doi.org/10.1007/978-3-030-47426-3_54},
  researchr = {https://researchr.org/publication/NguyenLVMGP20},
  cites = {0},
  citedby = {0},
  pages = {699-711},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I},
  editor = {Hady W. Lauw and Raymond Chi-Wing Wong and Alexandros Ntoulas and Ee-Peng Lim and See-Kiong Ng and Sinno Jialin Pan},
  volume = {12084},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-47426-3},
}