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2 Result(s)
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Chapter and Conference Paper
Privacy Preserving Federated Learning Using CKKS Homomorphic Encryption
With the rapid development of distributed machine learning and Internet of things, tons of distributed data created by devices are used for model training and what comes along is the concern of security and pr...
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Chapter and Conference Paper
Recovering the Weights of Convolutional Neural Network via Chosen Pixel Horizontal Power Analysis
In many scenarios, people have a demand for deploying the artificial intelligence applications on the edge device of IoT. For some special applications, these embedded devices are always required real-time rep...
