Sreetama Sarkar

Linearizing Models for Efficient yet Robust Private Inference

2024 · arXiv (Cornell University)

The growing concern about data privacy has led to the development of private inference (PI) frameworks in client-server applications which protects both data privacy and model IP. However, the cryptographic primitives required yield significant latency …