Titlebook: Digital Watermarking for Machine Learning Model; Techniques, Protocol Lixin Fan,Chee Seng Chan,Qiang Yang Book 2023 The Editor(s) (if appli

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Isabelle de France, Child Bride model. The effectiveness of our proposed approach to withstand different attacks without compromising the original image captioning performance has been demonstrated by the experiments on the MS-COCO and Flickr30k datasets.

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爭議的蘋果

Mendacious

是比賽

adduction

Shakespeare and the Question of Culturermarks in federated learning models for legitimate IPR. In the proposed FedIPR scheme, each client independently extracts the watermarks and claims ownership on the federated learning model while keep training data and watermark private.

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Introductionin all kinds of applications including finance, healthcare, public transportation, etc., reforming our lives in a unprecedentedly profound manner. On the other hand, the wide applicability of these machine learning models calls for appropriate managements of these models to ensure their use comply w

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Ownership Verification Protocols for Deep Neural Network Watermarkses, spearheaded by the watermark, have been proposed to establish the connection between a deep neural network and its owner; however, it is until that such connection is provably unambiguous and unforgeable that it can be leveraged for copyright protection. The ownership proof is feasible only afte

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Model Watermarking for Deep Neural Networks of Image Recoveryd DNN models of image recovery has become popular in the society. As a result, how to protect the intellectual property of the owners of those models has been a serious concern. To address it, this chapter introduces a framework developed in our recent work for watermarking the DNN models of image r

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