Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning

31 December 2020

Chenglei Si

Zhengyan Zhang

Fanchao Qi

Zhiyuan Liu

Yasheng Wang

Qun Liu

Maosong Sun

AAML

SILM

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Papers citing "Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning"

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Title
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks Yang Wang Chenghua Lin ELM 40 0 0 05 Jan 2025
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising Zhenhao Li Huichi Zhou Marek Rei Lucia Specia DiffM 34 0 0 28 Jun 2024
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 24 28 0 21 Dec 2022
On-the-fly Denoising for Data Augmentation in Natural Language Understanding Tianqing Fang Wenxuan Zhou Fangyu Liu Hongming Zhang Yangqiu Song Muhao Chen 41 1 0 20 Dec 2022
Robust Lottery Tickets for Pre-trained Language Models Rui Zheng Rong Bao Yuhao Zhou Di Liang Sirui Wang Wei Wu Tao Gui Qi Zhang Xuanjing Huang AAML 30 13 0 06 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples D. M. Nguyen Anh Tuan Luu AAML 27 17 0 05 Nov 2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese Zihan Zhang Jinfeng Li Ning Shi Bo Yuan Xiangyu Liu Rong Zhang Hui Xue Donghong Sun Chao Zhang AAML 34 4 0 28 Oct 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation Fan Yin Yao Li Cho-Jui Hsieh Kai-Wei Chang AAML 69 4 0 22 Oct 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP Yangyi Chen Hongcheng Gao Ganqu Cui Fanchao Qi Longtao Huang Zhiyuan Liu Maosong Sun SILM 25 45 0 19 Oct 2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models Lan Jiang Hao Zhou Yankai Lin Peng Li Jie Zhou R. Jiang AAML 37 8 0 18 Oct 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 40 84 0 25 Aug 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners Canyu Chen Kai Shu VLM 31 8 0 18 May 2022
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification Minyi Zhao Lu Zhang Yi Xu Jiandong Ding Jihong Guan Shuigeng Zhou VLM 49 10 0 24 Apr 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Kaustubh D. Dhole Varun Gangal Sebastian Gehrmann Aadesh Gupta Zhenhao Li ... Tianbao Xie Usama Yaseen Michael A. Yee Jing Zhang Yue Zhang 174 86 0 06 Dec 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 130 271 0 05 Oct 2021
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations Samson Tan Chenyu You Min-Yen Kan R. Socher 166 103 0 09 May 2020
Robust Encodings: A Framework for Combating Adversarial Typos Erik Jones Robin Jia Aditi Raghunathan Percy Liang AAML 142 102 0 04 May 2020
A Reinforced Generation of Adversarial Examples for Neural Machine Translation Wei Zou Shujian Huang Jun Xie Xinyu Dai Jiajun Chen AAML SILM 32 26 0 09 Nov 2019
Certified Robustness to Adversarial Word Substitutions Robin Jia Aditi Raghunathan Kerem Göksel Percy Liang AAML 188 291 0 03 Sep 2019
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 258 915 0 21 Apr 2018