The first paper in this session was Scheu-Hachtel & Zalonis's "Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning" on flexible, efficient private ML. (www.acsac.org/2025/p...) 2/6
#FunctionalEncryption #PrivacyPreservingML