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Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices
Most of those DL models are proprietary to the companies who thus strive to keep their private models safe from the model extraction attack (MEA), whose aim is to steal the model by training surrogate models.
Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service
In this paper we show hyperdimensional computing can be a rescue for privacy-preserving machine learning over encrypted data.
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