Neural network laundering: Removing black-box backdoor watermarks from deep neural networks

Author:

Aiken William,Kim HyoungshickORCID,Woo Simon,Ryoo Jungwoo

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference25 articles.

1. State-of-the-art in artificial neural network applications: a survey;Abiodun;Heliyon,2018

2. Turning your weakness into a strength: watermarking deep neural networks by backdooring;Adi,2018

3. Extraction of complex DNN models: real threat or boogeyman?;Atli,2020

4. Chen, X., Liu, C., Li, B., Lu, K., Song, D., 2017. Targeted backdoor attacks on deep learning systems using data poisoning. arXiv preprint arXiv:1712.05526

5. Cohen, G., Afshar, S., Tapson, J., van Schaik, A., 2017. EMNIST: An extension of MNIST to handwritten letters. arXiv preprint arXiv:1702.05373

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