Cross-Validation for Detecting Label Poisoning Attacks: A Study on Random Forest Algorithm
- DOI
- 10.1007/978-3-031-65175-5_32
- Published
- 2024
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-65175-5_32,
title = {Cross-Validation for Detecting Label Poisoning Attacks: A Study on Random Forest Algorithm},
author = {Tharindu Lakshan Yasarathna and Lankeshwara Munasinghe and Harsha Kalutarage and Nhien-An Le-Khac},
year = {2024},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-031-65175-5_32},
url = {https://doi.org/10.1007/978-3-031-65175-5_32}
}RIS
TY - JOUR TI - Cross-Validation for Detecting Label Poisoning Attacks: A Study on Random Forest Algorithm AU - Tharindu Lakshan Yasarathna AU - Lankeshwara Munasinghe AU - Harsha Kalutarage AU - Nhien-An Le-Khac PY - 2024 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-031-65175-5_32 UR - https://doi.org/10.1007/978-3-031-65175-5_32 ER -
APA
Yasarathna, T. L., Munasinghe, L., Kalutarage, H., & Le-Khac, N. (2024). Cross-Validation for Detecting Label Poisoning Attacks: A Study on Random Forest Algorithm. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-031-65175-5_32
Source records
- crossref · retrieved 2026-11-10T10:43:58.960Z