COBRA-GCN: Contrastive Learning to Optimize Binary Representation Analysis with Graph Convolutional Networks

Michael Wang, Alex Interrante-Grant, Ryan Whelan, Tim Leek. COBRA-GCN: Contrastive Learning to Optimize Binary Representation Analysis with Graph Convolutional Networks. In Lorenzo Cavallaro, Daniel Gruss, Giancarlo Pellegrino, Giorgio Giacinto, editors, Detection of Intrusions and Malware, and Vulnerability Assessment - 19th International Conference, DIMVA 2022, Cagliari, Italy, June 29 - July 1, 2022, Proceedings. Volume 13358 of Lecture Notes in Computer Science, pages 53-74, Springer, 2022. [doi]

@inproceedings{WangIWL22,
  title = {COBRA-GCN: Contrastive Learning to Optimize Binary Representation Analysis with Graph Convolutional Networks},
  author = {Michael Wang and Alex Interrante-Grant and Ryan Whelan and Tim Leek},
  year = {2022},
  doi = {10.1007/978-3-031-09484-2_4},
  url = {https://doi.org/10.1007/978-3-031-09484-2_4},
  researchr = {https://researchr.org/publication/WangIWL22},
  cites = {0},
  citedby = {0},
  pages = {53-74},
  booktitle = {Detection of Intrusions and Malware, and Vulnerability Assessment - 19th International Conference, DIMVA 2022, Cagliari, Italy, June 29 - July 1, 2022, Proceedings},
  editor = {Lorenzo Cavallaro and Daniel Gruss and Giancarlo Pellegrino and Giorgio Giacinto},
  volume = {13358},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-09484-2},
}