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GINN: Fast GPU-TEE Based Integrity for Neural Network Training
In this work, we focus on the setting where the integrity of the outsourced Deep Learning (DL) model training is ensured by TEE.
GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment
Machine learning models based on Deep Neural Networks (DNNs) are increasingly deployed in a wide range of applications ranging from self-driving cars to COVID-19 treatment discovery.
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