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Overview

The code is repository for "DEFEAT: Decoupled Feature Attack Across Deep Neural Networks" (Neural Networks).

Prerequisites

python 3.6
tensorflow 1.14

Pipeline

Run the Code

Run DEFEAT to generate adversarial examples: main.py.

Experimental Results

We attack four normally trained models to generate adversarial examples, and test the transferability against defense models.

Layer Transferability

Standalone Experiment

Ensemble Experiment

Citation

If you find this project is useful for your research, please consider citing:

@article{huang2022defeat,
  title={DEFEAT: Decoupled feature attack across deep neural networks},
  author={Huang, Lifeng and Gao, Chengying and Liu, Ning},
  journal={Neural Networks},
  volume={156},
  pages={13--28},
  year={2022},
  publisher={Elsevier}
}

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DEFEAT: Decoupled Feature Attack Across Deep Neural Networks

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