DP-ADA: Differentially Private Adversarial Domain Adaptation for Training Deep Learning based Network Intrusion Detection Systems.
Ankush SinglaElisa BertinoPublished in: CIC (2022)
Keyphrases
- domain adaptation
- deep learning
- differentially private
- network intrusion detection systems
- unsupervised learning
- cross domain
- semi supervised
- multiple sources
- labeled data
- semi supervised learning
- machine learning
- sentiment classification
- differential privacy
- transfer learning
- training set
- test data
- supervised learning
- mental models
- intrusion detection
- privacy preserving
- intrusion detection system
- unlabeled data
- training examples
- target domain
- text categorization
- training samples
- text classification
- data mining techniques
- dimensionality reduction
- learning process
- training data
- face recognition