193 citations · 275 across the 3 of their papers we have counts for
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cs.CL2020★ 9 cited
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations
Yuan Zang, Bairu Hou, Fanchao Qi +3
Adversarial attacking aims to fool deep neural networks with adversarial examples. In the field of natural language processing, various textual adversarial attack models have been…
cs.CL2020★ 73 cited
OpenAttack: An Open-source Textual Adversarial Attack Toolkit
Guoyang Zeng, Fanchao Qi, Qianrui Zhou +6
Textual adversarial attacking has received wide and increasing attention in recent years. Various attack models have been proposed, which are enormously distinct and implemented wi…
cs.CL2019★ 193 cited
Word-level Textual Adversarial Attacking as Combinatorial Optimization
Yuan Zang, Fanchao Qi, Chenghao Yang +4
Adversarial attacks are carried out to reveal the vulnerability of deep neural networks. Textual adversarial attacking is challenging because text is discrete and a small perturbat…