Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks. (arXiv:2210.07809v2 [cs.CR] UPDATED)

Watermarking has been widely adopted for protecting the intellectual property
(IP) of Deep Neural Networks (DNN) to defend the unauthorized distribution.
Unfortunately, the popular data-poisoning DNN watermarking scheme relies on
target model fine-tuning to embed watermarks, which limits its practical
applications in tackling real-world tasks. Specifically, the learning of
watermarks via tedious model fine-tuning on a poisoned dataset
(carefully-crafted sample-label pairs) is not efficient in tackling the tasks
on challenging datasets and production-level DNN model protection. To address
the aforementioned …

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