DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints.
Xing HuLing LiangShuangchen LiLei DengPengfei ZuoYu JiXinfeng XieYufei DingChang LiuTimothy SherwoodYuan XiePublished in: ASPLOS (2020)
Keyphrases
- probabilistic model
- computational model
- learning scheme
- conceptual model
- learning algorithm
- learning process
- theoretical framework
- modeling framework
- conceptual framework
- bayesian framework
- high level
- active learning
- prior knowledge
- unified model
- generic model
- decision theoretic
- experimental data
- statistical model
- mathematical model
- machine learning
- process model
- learning systems
- supervised learning
- learning tasks
- objective function
- theoretical foundation
- formal model
- reinforcement learning
- context dependent
- parameter estimation
- online learning
- learning mechanism
- knowledge base
- markov random field
- learning objects