Guibao Song

PrivSynth: Alternating and Control-Based Optimization for Privacy and Utility in Synthetic Data

As publicly available data dwindles, synthetic data generation (SDG) has become a practical solution for privacy-preserving data sharing. By training generative models on private data, SDG creates samples that retain task-relevant features while obfuscating sensitive content. However, recent work sh