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OpenAttack: An Open-source Textual Adversarial Attack Toolkit
arXiv - CS - Computation and Language Pub Date : 2020-09-19 , DOI: arxiv-2009.09191
Guoyang Zeng, Fanchao Qi, Qianrui Zhou, Tingji Zhang, Bairu Hou, Yuan Zang, Zhiyuan Liu, Maosong Sun

Textual adversarial attacking has received wide and increasing attention in recent years. Various attack models have been proposed, which are enormously distinct and implemented with different programming frameworks and settings. These facts hinder quick utilization and apt comparison of attack models. In this paper, we present an open-source textual adversarial attack toolkit named OpenAttack. It currently builds in 12 typical attack models that cover all the attack types. Its highly inclusive modular design not only supports quick utilization of existing attack models, but also enables great flexibility and extensibility. OpenAttack has broad uses including comparing and evaluating attack models, measuring robustness of a victim model, assisting in developing new attack models, and adversarial training. Source code, built-in models and documentation can be obtained at https://github.com/thunlp/OpenAttack.

中文翻译:

OpenAttack:开源文本对抗性攻击工具包

近年来,文本对抗攻击受到了广泛和越来越多的关注。已经提出了各种攻击模型,它们非常不同,并且使用不同的编程框架和设置来实现。这些事实阻碍了攻击模型的快速利用和适当的比较。在本文中,我们提出了一个名为 OpenAttack 的开源文本对抗性攻击工具包。它目前构建了 12 种典型的攻击模型,涵盖了所有的攻击类型。其高度包容的模块化设计不仅支持快速利用现有攻击模型,而且具有极大的灵活性和可扩展性。OpenAttack 具有广泛的用途,包括比较和评估攻击模型、衡量受害者模型的稳健性、协助开发新的攻击模型以及对抗性训练。源代码,
更新日期:2020-09-22
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