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AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning. (arXiv:2208.03948v1 [cs.CV])
Aug. 9, 2022, 1:20 a.m. | Tianxing Zhang, Hanzhou Wu, Xiaofeng Lu, Guangling Sun
cs.CR updates on arXiv.org arxiv.org
As a self-supervised learning paradigm, contrastive learning has been widely
used to pre-train a powerful encoder as an effective feature extractor for
various downstream tasks. This process requires numerous unlabeled training
data and computational resources, which makes the pre-trained encoder become
valuable intellectual property of the owner. However, the lack of a priori
knowledge of downstream tasks makes it non-trivial to protect the intellectual
property of the pre-trained encoder by applying conventional watermarking
methods. To deal with this problem, in …
More from arxiv.org / cs.CR updates on arXiv.org
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