TYGR: Type Inference on Stripped Binaries using Graph Neural Networks.
Chang ZhuZiyang LiAnton XueAti Priya BajajWil GibbsYibo LiuRajeev AlurTiffany BaoHanjun DaiAdam DoupéMayur NaikYan ShoshitaishviliRuoyu WangAravind MachiryPublished in: USENIX Security Symposium (2024)
Keyphrases
- neural network
- pattern recognition
- graph structure
- random walk
- neural network model
- graph theoretic
- artificial neural networks
- graph theory
- structured data
- directed graph
- inference process
- graph representation
- bipartite graph
- neural nets
- recurrent neural networks
- graph matching
- feed forward
- back propagation
- bayesian networks
- learning algorithm
- connected components
- source code
- pairwise
- weighted graph
- directed acyclic graph
- case study