Comprehensive Educational Data Anonymization Pipeline

Design a robust data anonymization system for educational datasets using advanced cryptographic techniques and privacy-preserving algorithms. Create a Python framework that can securely transform student data while maintaining statistical integrity for research purposes. Implement differential privacy techniques that allow meaningful analysis without compromising individual student identities.