Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks Zhaohan Xi
–Neural Information Processing Systems
In this work, we conduct a pilot study showing that PLMs as few-shot learners are highly vulnerable to backdoor attacks while existing defenses are inadequate due to the unique challenges of few-shot scenarios.
Neural Information Processing Systems
Feb-13-2026, 02:17:40 GMT
- Country:
- Asia > Nepal (0.04)
- North America > United States
- New York > Suffolk County
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- New York > Suffolk County
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- Research Report (0.67)
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- Information Technology > Security & Privacy (1.00)
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