BAE: BERT-based Adversarial Examples for Text Classification

Modern text classification models are susceptible to adversarial examples, perturbed versions of the original text indiscernible by humans which get misclassified by the model. Recent works in NLP use rule-based synonym replacement strategies to generate adversarial examples... (read more)

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Methods used in the Paper


METHOD TYPE
Adam
Stochastic Optimization
Multi-Head Attention
Attention Modules
BERT
Language Models