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fbmad's Introduction

FBMAD

Introduction

Code for the article 'A Function-aware Mimic Defense Theory and its Practice' accepted by CHINA COMMUNICATIONS.

http://www.cic-chinacommunications.cn/EN/10.23919/JCC.ja.2022-0842

Libraries Used

The following libraries were used in our code:

Library Version
Python 3.9.15
scikit-learn 1.2.0
scipy 1.9.3
secml 0.15.3
numpy 1.23.5
pandas 1.5.2

File Descriptions

  1. model.py - This file contains the complete code for the FBMAD model.
  2. train.py - This file provides a simple test case. You can run python train.py to execute the code.
  3. finaldataset - This folder contains some posioned datasets.
  4. ridge.ipynb - This notebook file provides instructions on how to construct new test cases. Please refer to this file or the referenced articles mentioned in the paper.
  5. pic - This folder includes two images generated during the normal execution of the code. Both the console output and the images provide test results.

Please feel free to reach out if you have any further questions or need additional information.

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