Tracking Dataset IP Use in Deep Neural Networks. (arXiv:2211.13535v1 [cs.CR])

Training highly performant deep neural networks (DNNs) typically requires the
collection of a massive dataset and the use of powerful computing resources.
Therefore, unauthorized redistribution of private pre-trained DNNs may cause
severe economic loss for model owners. For protecting the ownership of DNN
models, DNN watermarking schemes have been proposed by embedding secret
information in a DNN model and verifying its presence for model ownership.
However, existing DNN watermarking schemes compromise the model utility and are
vulnerable to watermark removal …

networks neural networks tracking