An Attention Score Based Attacker for Black-box NLP Classifier. (arXiv:2112.11660v2 [cs.LG] UPDATED)

Deep neural networks have a wide range of applications in solving various
real-world tasks and have achieved satisfactory results, in domains such as
computer vision, image classification, and natural language processing.
Meanwhile, the security and robustness of neural networks have become
imperative, as diverse researches have shown the vulnerable aspects of neural
networks. Case in point, in Natural language processing tasks, the neural
network may be fooled by an attentively modified text, which has a high
similarity to the original …

box score