PatchRNN: A Deep Learning-Based System for Security Patch Identification.
Xinda WangShu WangPengbin FengKun SunSushil JajodiaSanae BenchaabounFrank GeckPublished in: MILCOM (2021)
Keyphrases
- deep learning
- unsupervised learning
- machine learning
- unsupervised feature learning
- deep architectures
- pattern recognition
- weakly supervised
- image patches
- mental models
- restricted boltzmann machine
- learning strategies
- deep belief networks
- maximum likelihood
- online learning
- decision support system
- viewpoint
- training data
- feature extraction