GAN-Driven Synthetic Financial Data Generation: Ensuring Privacy and Statistical Fidelity for Fraud Detection and AI Applications

1.A CTGAN-based framework for privacy-preserving
synthetic financial transaction data;
2. An in-depth evaluation of
statistical fidelity and privacy protection;
3. Experiments
showing that synthetic data can improve accessibility and privacy while
achieving near-real downstream performance.