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Article
Can differential privacy practically protect collaborative deep learning inference for IoT?
Collaborative inference has recently emerged as an attractive framework for applying deep learning to Internet of Things (IoT) applications by splitting a DNN model into several subpart models among resource-c...
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Chapter and Conference Paper
Efficient Hash-Based Redactable Signature for Smart Grid Applications
The sharing of energy usage data in smart grids is becoming increasingly popular because it not only allows different entities to access fine-grained energy consumption data but also improves the effectiveness...
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Chapter and Conference Paper
RAIDER: Reinforcement-Aided Spear Phishing Detector
Spear Phishing is one of the most difficult to detect cyber attacks facing businesses and individuals worldwide. In recent years, considerable research has been conducted into the use of Machine Learning (ML) ...