Fingerprinting in EEG Model IP Protection Using Diffusion Model-Reference-Cited by-同舟云学术

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Fingerprinting in EEG Model IP Protection Using Diffusion Model

Published:2024-05-30 Issue: Volume:35 Page:120-128
ISSN:
Container-title:Proceedings of the 2024 International Conference on Multimedia Retrieval
language:
Short-container-title:

Author:

Wang Tianyi¹^ORCID,Zhong Sheng-hua²^ORCID

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University & National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China

2. College of Compute Science and Software Engineering, Shenzhen University, Shenzhen, China

Funder

Natural Science Foundation of Guangdong Province

Open Fund of National Engineering Laboratory for Big Data System Computing Technology

Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ)

Stable Support Project of Shenzhen

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652583.3658057

Reference51 articles.

1. A Comprehensive Survey of Deep Learning Techniques Natural Language Processing

2. Towards a universal and privacy preserving EEG-based authentication system

3. Franziska Boenisch. 2021. A systematic review on model watermarking for neural networks. Frontiers in big Data , Vol. 4 (2021), 729663.

4. IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary

5. HoloSet - A Dataset for Visual-Inertial Pose Estimation in Extended Reality

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