Adversarial examples detection based on quantum fuzzy convolution neural network-Reference-Cited by-同舟云学术

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Adversarial examples detection based on quantum fuzzy convolution neural network

Published:2024-04-09 Issue:4 Volume:23 Page:
ISSN:1573-1332
Container-title:Quantum Information Processing
language:en
Short-container-title:Quantum Inf Process

Author:

Huang Chenyi,Zhang Shibin^ORCID

Funder

Innovative Research Group Project of the National Natural Science Foundation of China

Key Research and Development Program of Sichuan Province

University Scientific Research and Innovation Team Program of Sichuan

the National Key Research and Development Plan of China, Key Project of Cyberspace Security Governance

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11128-024-04310-3.pdf

Reference47 articles.

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2. Jordan, M.I., Mitchell, T.M.: Machine learning: trends, perspectives, and prospects. Science 349(6245), 255–260 (2015)

3. Zhang, Y., Ni, Q.: Recent advances in quantum machine learning. Quantum Eng. 2(1), 34 (2020)

4. Biamonte, J., Wittek, P., Pancotti, N., Rebentrost, P., Wiebe, N., Lloyd, S.: Quantum machine learning. Nature 549(7671), 195–202 (2017)

5. Dunjko, V., Briegel, H.J.: Machine learning$$\backslash $$ & artificial intelligence in the quantum domain. arXiv preprint arXiv:1709.02779 (2017)

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