Neural network laundering: Removing black-box backdoor watermarks from deep neural networks-Reference-Cited by-同舟云学术

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

Published:2021-07 Issue: Volume:106 Page:102277
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Aiken William,Kim Hyoungshick^ORCID,Woo Simon,Ryoo Jungwoo

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference25 articles.

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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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