A Model Extraction Attack without Reference Training Data

With the advancement of deep neural networks (DNNs), their application has become increasingly widespread. The security of DNNs is a pressing concern, as they represent valuable intellectual property due to their intricate structure, costly train- ing data, and extensive training process. Typically,... View More