A Label Flipping Attack on Machine Learning Model and Its Defense Mechanism-Reference-Cited by-同舟云学术

A Label Flipping Attack on Machine Learning Model and Its Defense Mechanism

Published:2023 Issue: Volume: Page:490-506
ISSN:0302-9743
Container-title:Algorithms and Architectures for Parallel Processing
language:
Short-container-title:

Author:

Li Qingru^ORCID,Wang Xinru^ORCID,Wang Fangwei^ORCID,Wang Changguang^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-22677-9_26

Reference26 articles.

1. Springborg, A. A., Andersen, M. K., Hattel, K. H., et al.: Towards a secure API client generator for IoT devices (2022)

2. Naumov, M., Mudigere, D., Shi, H. J. M., Huang, J., Sundaraman, N., et al.: Deep learning recommendation model for personalization and recommendation systems. (2019)

3. Baracaldo, N., Chen, B., Ludwig, H., Safavi, A., Zhang, R.: Detecting poisoning attacks on machine learning in IoT environments. In: 2018 IEEE International Congress on Internet of Things (ICIOT), pp. 57–64 (2018)

4. Schwarzschild, A., Goldblum, M., Gupta, A., Dickerson, J. P., Goldstein, T.: Just how toxic is data poisoning? a unified benchmark for backdoor and data poisoning attacks. In: International Conference on Machine Learning (PMLR), pp. 9389–9398 (2021)

5. Chen, J.Y., Zou, J.F., Su, M.M., Zhang, L.Y.: A review of deep learning model for poison attack and defense. J. Cyber Sec. 5(04), 14–29 (2020)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability;2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE);2024-06-30

2. A Comprehensive Analysis of Poisoning Attack and Defence Strategies in Machine Learning Techniques;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

3. Predicting the Impact of Data Poisoning Attacks in Blockchain-Enabled Supply Chain Networks;Algorithms;2023-11-29