SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders. (arXiv:2201.11692v4 [cs.CR] UPDATED)

Self-supervised learning is an emerging machine learning paradigm. Compared
to supervised learning which leverages high-quality labeled datasets,
self-supervised learning relies on unlabeled datasets to pre-train powerful
encoders which can then be treated as feature extractors for various downstream
tasks. The huge amount of data and computational resources consumption makes
the encoders themselves become the valuable intellectual property of the model
owner. Recent research has shown that the machine learning model's copyright is
threatened by model stealing attacks, which aim to …

arxiv learning self-supervised learning supervised learning