Deep Learning vs. Traditional Probabilistic Models: Case Study on Short Inputs for Password Guessing.
Yuan LinghuXiangxue LiZhenlong ZhangPublished in: ICA3PP (1) (2019)
Keyphrases
- deep learning
- probabilistic model
- case study
- deep belief networks
- unsupervised learning
- unsupervised feature learning
- expectation maximization
- graphical models
- remote user authentication scheme
- generative model
- weakly supervised
- machine learning
- conditional random fields
- mental models
- authentication scheme
- restricted boltzmann machine
- real world
- security analysis
- topic models
- user authentication
- bayesian networks
- data mining
- smart card
- em algorithm