Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning

Linda Scheu-Hachtel, Jasmin Zalonis

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 r…