FedMark: Large-Capacity and Robust Watermarking in Federated Learning-Reference-Cited by-同舟云学术

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FedMark: Large-Capacity and Robust Watermarking in Federated Learning

Published:2024-07-23 Issue: Volume:162 Page:821-832
ISSN:
Container-title:2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)
language:
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Author:

Zhang Lan¹,Tang Chen¹,Liu Huiqi¹,Yu Haikuo¹,Zhuang Xirong¹,Zhao Qi¹,Wang Lei¹,Fang Wenjing¹,Li Xiang-Yang¹

Affiliation:

1. University of Science and Technology of China,Hefei,China

Funder

National Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10630852/10630896/10630980.pdf?arnumber=10630980

Reference38 articles.

1. Embedding Watermarks into Deep Neural Networks

2. Turning your weakness into a strength: Watermarking deep neural networks by backdooring;Adi,2018

3. Rethinking deep neural network ownership verification: embedding passports to defeat ambiguity at-tacks;Fan,2019

4. Entangled watermarks as a defense against model extraction;Jia,2021

5. Deepip: Deep neural network intellectual property protection with passports;Fan;IEEE Transactions on Pattern Analysis & Machine Intelligence,2021

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