Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models?
Jacson Rodrigues Correia da SilvaRodrigo Ferreira BerrielClaudine BadueAlberto F. De SouzaThiago Oliveira-SantosPublished in: Pattern Recognit. (2021)
Keyphrases
- black box
- labeled data
- prior knowledge
- semi supervised learning
- unlabeled data
- semi supervised
- text classification
- black boxes
- training data
- transfer learning
- active learning
- background knowledge
- domain adaptation
- labeled training data
- semi supervised classification
- supervised learning
- co training
- knowledge transfer
- supervised learning algorithms
- white box
- training examples
- probabilistic model
- class labels
- knowledge discovery
- databases
- test cases
- domain specific
- labeled examples
- knowledge representation
- data analysis
- neural network