NASPY: automated extraction of automated machine learning models

• Main Authors: Lou, Xiaoxuan, Guo, Shangwei, Li, Jiwei, Wu, Yaoxin, Zhang, Tianwei
• 其他作者: School of Computer Science and Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2023
• 主題: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Automated Machine Learning; Deep Neural Networks
• 在線閱讀: https://hdl.handle.net/10356/165393; https://openreview.net/group?id=ICLR.cc/2022/Conference#spotlight-submissions

We present NASPY, an end-to-end adversarial framework to extract the networkarchitecture of deep learning models from Neural Architecture Search (NAS). Existing works about model extraction attacks mainly focus on conventional DNN models with very simple operations, or require heavy manual analysis...