A dynamic ensemble of BERT, RoBERTa, and ALBERT with randomized smoothing, masked inference, and TextFooler adversarial training is reported to keep 82-87% accuracy under attack on AG News and IMDB, far above prior defenses.
Phrase-level textual adversarial attack with label preservationn,
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Adversarial Robustness through Dynamic Ensemble Learning
A dynamic ensemble of BERT, RoBERTa, and ALBERT with randomized smoothing, masked inference, and TextFooler adversarial training is reported to keep 82-87% accuracy under attack on AG News and IMDB, far above prior defenses.