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Evaluating Text Classification Robustness to Part-of-Speech Adversarial Examples
To improve the quality of text-based adversarial examples, we need to know what elements of the input text are worth focusing on.
Attacks against Ranking Algorithms with Text Embeddings: a Case Study on Recruitment Algorithms
We also found that attacks against TF IDF is more successful compared to USE.
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