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Papers
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models
EMNLP 2022
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models
EMNLP 2022
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation
EMNLP 2022
Recent improvements of ASR models in the face of adversarial attacks
INTERSPEECH 2022