Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting. (arXiv:2204.01934v1 [cs.CV])
Fine-tuning attacks are effective in removing the embedded watermarks in deep learning models. However, when the source data is unavailable, it is challenging to just erase the watermark without jeopardizing…