DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints
ASPLOS '20: Architectural Support for Programming Languages and Operating Systems Lausanne Switzerland March, 2020, pp. 385-399, 2020.
As deep neural networks (DNNs) continue their reach into a wide range of application domains, the neural network architecture of DNN models becomes an increasingly sensitive subject, due to either intellectual property protection or risks of adversarial attacks. Previous studies explore to leverage architecture-level events disposed in ha...More
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