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FedReverse: Multiparty Reversible Deep Neural Network Watermarking
The simulations demonstrate FedReverse's robustness, reversibility, and minimal impact on model accuracy across varying embedding parameters and multiple client scenarios.
Reversible Quantization Index Modulation for Static Deep Neural Network Watermarking
In this paper, we propose a novel RDH-based static DNN watermarking scheme using quantization index modulation (QIM).
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