Privacy-Aware Generative Augmentation for Imbalanced Intrusion Detection Using Differential Privacy
Machine learning-based intrusion detection systems are often constrained by severe class imbalance, while generative augmentation may memorize distinctive network-flow records and expose membership information. This study evaluates privacy-aware augmentation for CICIDS2017 by integrating differentially private stochast...