Қорғаныс құрылымы
method
ID: defenseframework
Related Papers
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model
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 …...
RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks
AbstractAdversarial attacks on deep neural networks keep raising security concerns in natural language processing research. Existing defenses focus on improving the robustness of the victim model in the training stage. …...