Deepak Khazanchi

EHEIR: Efficient Homomorphic Encrypted Inference via Architectural Redesign

This work presents a framework that reformulates HE-aware model design as a constrained neural architecture search problem, where the objective is to identify architectures that are both cryptographically feasible and computationally efficient while preserving task performance.