Optimized privacy-preserving cnn inference with fully homomorphic encryption
Inference of machine learning models with data privacy guarantees has been widely studied
as privacy concerns are getting growing attention from the community. Among others, secure …
as privacy concerns are getting growing attention from the community. Among others, secure …
On the Gini-impurity preservation for privacy random forests
XR ** medical
artificial intelligence models since medical data is the most sensitive personal data. To …
artificial intelligence models since medical data is the most sensitive personal data. To …
: Towards Secure and Lightweight Deep Learning as a Medical Diagnostic Service
The striking progress of deep learning paves the way towards intelligent and quality medical
diagnostic services. Enterprises deploy such services via the neural network (NN) inference …
diagnostic services. Enterprises deploy such services via the neural network (NN) inference …
Context-aware hybrid encoding for privacy-preserving computation in IoT devices
Recent years have witnessed a surge in hybrid IoT-cloud applications where an end user
distributes the desired computation between the IoT and cloud nodes. While achieving …
distributes the desired computation between the IoT and cloud nodes. While achieving …
Batch Inference on Deep Convolutional Neural Networks With Fully Homomorphic Encryption Using Channel-By-Channel Convolutions
Secure Machine Learning as a Service (MLaaS) is a viable solution where clients seek
secure ML computation delegation while protecting sensitive data. We propose an efficient …
secure ML computation delegation while protecting sensitive data. We propose an efficient …
[PDF][PDF] PP-Stream: Toward High-Performance Privacy-Preserving Neural Network Inference via Distributed Stream Processing
Privacy preservation is critical for neural network inference, which often involves
collaborative execution of different parties to make predictions on sensitive data based on …
collaborative execution of different parties to make predictions on sensitive data based on …