NASPY: automated extraction of automated machine learning models

• المؤلفون الرئيسيون: Lou, Xiaoxuan, Guo, Shangwei, Li, Jiwei, Wu, Yaoxin, Zhang, Tianwei
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Automated Machine Learning; Deep Neural Networks
• الوصول للمادة أونلاين: 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...