Data-free generative model stealing – an experimental study

• Main Author: Mao, Ruoyi
• Other Authors: Lin Zhiping
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science
• Online Access: https://hdl.handle.net/10356/176957
• Institution: Nanyang Technological University

Model stealing attack refers to duplicating the functionalities of a deep learning model, which results in social or economic effect to model owner or leads to further attacks. Generative Artificial Intelligence is becoming more and more popular and influential, but compared to classification models...