BriefGPT.xyz
Jan, 2022
量化对抗性单词替换的鲁棒性
Quantifying Robustness to Adversarial Word Substitutions
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Yuting Yang, Pei Huang, FeiFei Ma, Juan Cao, Meishan Zhang...
TL;DR
论文提出了一种正式框架来评估基于深度学习的NLP模型的鲁棒性,包括比较上下界以计算鲁棒半径、量化对抗性示例的鲁棒性度量,并探索模型易受扰动的原因。
Abstract
deep-learning
-based
nlp
models are found to be vulnerable to word substitution perturbations. Before they are widely adopted, the fundamental issues of
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