Kris Kitani

Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption

2017 · arXiv (Cornell University)

We propose a privacy-preserving framework for learning visual classifiers by leveraging distributed private image data. This framework is designed to aggregate multiple classifiers updated locally using private data and to ensure that no private information …