Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training.
Zhenyi WangLi ShenTongliang LiuTiehang DuanYanjun ZhuDonglin ZhanDavid S. DoermannMingchen GaoPublished in: NeurIPS (2023)
Keyphrases
- experimental data
- input data
- data sets
- test data
- probability distribution
- data analysis
- raw data
- data collection
- mathematical model
- stochastic programming
- database
- simulation data
- data extraction
- statistical analysis
- prior knowledge
- databases
- original data
- data quality
- network structure
- image data
- data sources
- computational model
- learning models
- probabilistic model
- high level
- robust optimization
- data processing
- measured data
- empirical data
- data mining
- training set
- prior information
- objective function
- synthetic data
- training samples
- em algorithm
- end users
- knowledge discovery
- supervised learning
- information extraction