Differentially private upsampling for enhanced anomaly detection in imbalanced data

Advancing financial privacy: A novel integrative approach for privacy-preserving optimal portfolio

Improving the utility of differentially private clustering through dynamical processing

Privacy-preserving inference resistant to model extraction attacks

Differentially private upsampling for enhanced anomaly detection in imbalanced data

Advancing financial privacy: A novel integrative approach for privacy-preserving optimal portfolio

Improving the utility of differentially private clustering through dynamical processing

Privacy-preserving inference resistant to model extraction attacks

A Privacy-preserving mean–variance optimal portfolio

Differentially Private Upsampling for Enhanced Anomaly Detection in Imbalanced Data

Homomorphic encryption-based fault diagnosis in IoT-enabled industrial systems

Kernel-Based Differentially Private Upsampling for Imbalanced Datasets

Secure and Efficient Transfer Learning for Bearing Fault Diagnosis Using Homomorphic Encryption and Coreset Selection