Secure Neural Network Inference as a Service with Resource-Constrained Clients
Rik de Vries, Zoltán Ádám Mann · 2023
Applying services computing to neural networks, a service provider may provide inference with a pre-trained neural network as a service. Clients use the service to get the neural network's output on their input. To protect sensitive data, secure neural network inference (SNNI) entails that only the client learns the output; the input remains the client's secret and the neural network's parameters remain the service provider's secret. Several SNNI approaches were proposed and evaluated in environments where both service providers and clients used powerful computers.