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A Survey on Backdoor Attack and Defense in Natural Language Processing. (arXiv:2211.11958v1 [cs.CL])
Nov. 23, 2022, 2:20 a.m. | Xuan Sheng, Zhaoyang Han, Piji Li, Xiangmao Chang
cs.CR updates on arXiv.org arxiv.org
Deep learning is becoming increasingly popular in real-life applications,
especially in natural language processing (NLP). Users often choose training
outsourcing or adopt third-party data and models due to data and computation
resources being limited. In such a situation, training data and models are
exposed to the public. As a result, attackers can manipulate the training
process to inject some triggers into the model, which is called backdoor
attack. Backdoor attack is quite stealthy and difficult to be detected because
it …
attack backdoor defense language natural language processing survey
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