Homomorphically encrypted CIFAR-10 inference in 200ms
Summary
Homomorphic encryption is used to perform CIFAR-10 inference on encrypted data in about 200ms, as demonstrated by Belfort Labs. This showcases progress in privacy-preserving machine learning where sensitive input remains encrypted during computation. The development has potential implications for secure cloud AI workflows and on-device privacy when deploying ML models.