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cs.CL2023
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection
Songyang Gao, Shihan Dou, Qi Zhang +3
Detecting adversarial samples that are carefully crafted to fool the model is a critical step to socially-secure applications. However, existing adversarial detection methods requi…
cs.CL2023
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing
Songyang Gao, Shihan Dou, Junjie Shan +2
Dataset bias, i.e., the over-reliance on dataset-specific literal heuristics, is getting increasing attention for its detrimental effect on the generalization ability of NLU models…