privacy preserving machine learning

Introduction Differential Privacy Toolkits are specialized software libraries and platforms designed to analyze, share, or learn from sensitive data while mathematically limiting the risk of individual data leakage. Instead of relying only on access controls or anonymization, differential privacy introduces carefully calibrated statistical noise that protects individuals even against powerful attackers with auxiliary knowledge. As…