Skip to content
master
Switch branches/tags
Code

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 

Copycat CNN

Here you can find the models, the datasets information and the code used in our experiments (Copycat and Copycat Expansion). Feel free to contact me for any questions or suggestions (jacsonrcsilva at gmail).

Note that we used the Caffe Framework (1, 2). Therefore, you will find the "prototxt" files to replicate our experiments.

But if you don't know Caffe, don't be alarmed! In order to make it easier for you, we are also providing an Copycat Example implemented in PyTorch, and a Framework will be available soon.

If something here was useful to you, please kindly cite our article (s) below.

😊

1. Stealing Knowledge by Persuading Confession with Random Non-Labeled Data

Copycat

Project Details and Code

This paper is available on arXiv

@inproceedings{Correia-Silva-IJCNN2018,
  author={Jacson Rodrigues {Correia-Silva} and Rodrigo F. {Berriel} and Claudine {Badue} and Alberto F. {de Souza} and Thiago {Oliveira-Santos}},
  booktitle={2018 International Joint Conference on Neural Networks (IJCNN)},
  title={Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data},
  year={2018},
  pages={1-8},
  doi={10.1109/IJCNN.2018.8489592},
  ISSN={2161-4407},
  month={July}
}

2. Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from Black-box Models?

Copycat

Project Details and Code

This paper is available on arXiv

@article{Correia-Silva-PATREC2021,
  author={Jacson Rodrigues {Correia-Silva} and Rodrigo F. {Berriel} and Claudine {Badue} and Alberto F. {De Souza} and Thiago {Oliveira-Santos}},
  title={Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models?},
  journal={Pattern Recognition},
  volume={113},
  pages={107830},
  year={2021},
  issn={0031-3203}
}

3. An example of how to use Copycat Method

Example Code for Copycat in PyTorch

About

Copycat CNN

Resources

Releases

No releases published

Packages

No packages published