Linda Scheu-Hachtel

Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning

2025 · arXiv (Cornell University)

Functional encryption (FE) has recently attracted interest in privacy-preserving machine learning (PPML) for its unique ability to compute specific functions on encrypted data. A related line of work focuses on noisy FE, which ensures differential …