DeepDIST: a black-box anti-collusion framework for secure distribution of deep models

• Main Authors: Cheng, Hang, Li, Xibin, Wang, Huaxiong, Zhang, Xinpeng, Liu, Ximeng, Wang, Meiqing, Li, Fengyong
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2023
• Subjects: Science::Mathematics; Deep Neural Networks; Anti-collusion
• Online Access: https://hdl.handle.net/10356/171797
• Institution: Nanyang Technological University

Due to enormous computing and storage overhead for well-trained Deep Neural Network (DNN) models, protecting the intellectual property of model owners is a pressing need. As the commercialization of deep models is becoming increasingly popular, the pre-trained models delivered to users may suffer fr...