Adelaide Research & Scholarship
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https://hdl.handle.net/2440/137428
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| Type: | Journal article |
| Title: | Backdoors Against Natural Language Processing: A Review |
| Author: | Li, S. Dong, T. Zhao, B.Z.H. Xue, M. Du, S. Zhu, H. |
| Citation: | IEEE Security and Privacy Magazine, 2022; 20(5):50-59 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Issue Date: | 2022 |
| ISSN: | 1540-7993 1558-4046 |
| Statement of Responsibility: | Shaofeng Li, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue Suguo Du and Haojin Zhu |
| Abstract: | Data poisoning attacks, specifically backdoor attacks, present a severe security threat in artificial intelligence. We provide a comprehensive survey into state-of-the-art backdoor attacks and defenses in the field of natural language processing. |
| Rights: | © 2022, IEEE |
| DOI: | 10.1109/MSEC.2022.3181001 |
| Grant ID: | http://purl.org/au-research/grants/arc/DP210102670 |
| Published version: | http://dx.doi.org/10.1109/msec.2022.3181001 |
| Appears in Collections: | Computer Science publications |
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