Synthetic Data Generation

Generate synthetic data that preserves utility without leaking privacy. Learn statistical methods, ML-based generators (GANs, VAEs, diffusion), DP-synthetic data, fidelity vs privacy trade-offs, the validation regime (statistical fidelity, ML-utility, membership-inference resistance), and the operational pitfalls.