Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense

19 March 2022

Papers citing "Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense"

5 / 5 papers shown

Title
Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective W. Mazurczyk Dongwon Lee Andreas Vlachos 16 8 0 08 Jun 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations Lifan Yuan Yangyi Chen Ganqu Cui Hongcheng Gao Fangyuan Zou Xingyi Cheng Heng Ji Zhiyuan Liu Maosong Sun 39 73 0 07 Jun 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework Yangyi Chen Hongcheng Gao Ganqu Cui Lifan Yuan Dehan Kong ... Longtao Huang H. Xue Zhiyuan Liu Maosong Sun Heng Ji AAML ELM 27 6 0 29 May 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification Lingfeng Shen Ze Zhang Haiyun Jiang Ying Chen AAML 41 5 0 03 Feb 2023
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014