Papers with BFClass
BFClass: A Backdoor-free Text Classification Framework (2021.findings-emnlp)
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| Challenge: | Various trigger design strategies have been explored to attack text classifiers, however, defending such attacks remains an open problem. |
| Approach: | They propose a backdoor-free training framework that poisons a subset of training data by injecting trigger patterns and setting their labels as the target labels. |
| Outcome: | The proposed framework can detect all the triggers, remove 95% of poisoned training samples with very limited false alarms, and achieve almost the same performance as the models trained on benign training data. |