Аномалияны анықтаушы

method ID: anomalydetector

Related Papers

Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractRecently, the problem of robustness of pre-trained language models (PrLMs) has received increasing research interest. Latest studies on adversarial attacks achieve high attack success rates against PrLMs, claiming that PrLMs …...

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