DeepHider: A Multi-module and Invisibility Watermarking Scheme for Language Model. (arXiv:2208.04676v1 [cs.CR])

With the rapid development of natural language processing (NLP) technology,
NLP models have shown great economic value in business. However, the owner's
models are vulnerable to the threat of pirated redistribution, which breaks the
symmetry relationship between model owners and consumers. Therefore, a model
protection mechanism is needed to keep the symmetry from being broken.
Currently, language model protection schemes based on black-box verification
perform poorly in terms of invisibility of trigger samples, which are easily
detected by humans or …

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