To enhance privacy protection against sophisticated attacks, advanced strategies such as multi-layered privacy frameworks, stronger noise addition algorithms, and improved management of privacy budgets are recommended. Adopting more dynamic and responsive differential privacy implementations, and incorporating machine learning to predict and counteract potential attack vectors. The aim is to build a resilient privacy-preserving system that adapts to evolving threats while maintaining data utility.