Threats on Machine Learning Technique by Data Poisoning Attack: A Survey-Reference-Cited by-同舟云学术

Threats on Machine Learning Technique by Data Poisoning Attack: A Survey

Published:2021 Issue: Volume: Page:586-600
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Ahmed Ibrahim M.,Kashmoola Manar Younis

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8059-5_36

Reference71 articles.

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2. Khalid, L.F., Ameen, S.Y.: Secure IoT integration in daily lives: a review. J. Inf. Technol. Inf. 1(1), 6–12 (2021)

3. Medak, T., Krishna, A.P.: Power controlled secured transmission using self organizing trusted node model. Int. J. Pure Appl. Math. 118(24), 11–21 (2018)

4. Pitropakis, N., et al.: A taxonomy and survey of attacks against machine learning. Comput. Sci. Rev. 34, 100199 (2019)

5. Goldblum, M., et al.: Data security for machine learning: data poisoning, backdoor attacks, and defenses. arXiv preprint arXiv:2012.10544 (2020)

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