3 Result(s)
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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
A Defence Against Input-Agnostic Backdoor Attacks on Deep Neural Networks
Backdoor attacks insert hidden associations or triggers to the deep neural network (DNN) models to override correct inference such as classification. Such attacks perform maliciously according to the attacker-...
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Chapter and Conference Paper
mrPUF: A Novel Memristive Device Based Physical Unclonable Function
Physical unclonable functions (PUFs) exploit the intrinsic complexity and irreproducibility of physical systems to generate secret information. They have been proposed to provide higher level security as a har...
