AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking

arXiv:2403.05628v1 Announce Type: cross
Abstract: Curating high quality datasets that play a key role in the emergence of new AI applications requires considerable time, money, and computational resources. So, effective ownership protection of datasets is becoming critical. Recently, to protect the ownership of an image dataset, imperceptible watermarking techniques are used to store ownership information (i.e., watermark) into the individual image samples. Embedding the entire watermark into all samples leads to significant redundancy in the embedded information which damages the …

applications arxiv computational critical cs.cr cs.mm dataset datasets encoding high image key money ownership play protect protection quality resources role segment store techniques watermarking