NASPY: automated extraction of automated machine learning models

NASPY: automated extraction of automated machine learning models

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...

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Bibliographic Details
Main Authors: Lou, Xiaoxuan, Guo, Shangwei, Li, Jiwei, Wu, Yaoxin, Zhang, Tianwei
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Automated Machine Learning
Deep Neural Networks
Online Access:https://hdl.handle.net/10356/165393
https://openreview.net/group?id=ICLR.cc/2022/Conference#spotlight-submissions

Internet

https://hdl.handle.net/10356/165393
https://openreview.net/group?id=ICLR.cc/2022/Conference#spotlight-submissions

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