Privacy-preserving Machine Learning through Data Obfuscation
LOGAN: Evaluating Privacy Leakage of Generative Models Using Generative Adversarial Networks
Practical Secure Aggregation for Privacy-Preserving Machine Learning
Information Dropout: Learning Optimal Representations Through Noisy Computation
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
Privacy Preserving Machine Learning: Threats and Solutions