v1v2v3 (latest)

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"

38 / 38 papers shown

Title
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers Lili Zhao Qi Liu Wei-neng Chen Lu Chen R.-H. Sun Min Hou Yang Wang Shijin Wang 140 0 0 14 Apr 2025
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks Yang Wang Chenghua Lin ELM 195 0 0 05 Jan 2025
Unitary Multi-Margin BERT for Robust Natural Language Processing Hao-Yuan Chang Kang L. Wang AAML 49 0 0 16 Oct 2024
MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification Harrison Gietz Jugal Kalita AAML 63 1 0 18 Jun 2024
Evaluating the Adversarial Robustness of Retrieval-Based In-Context Learning for Large Language Models Simon Chi Lok Yu Jie He Pasquale Minervini Jeff Z. Pan 52 0 0 24 May 2024
Enhance Robustness of Language Models Against Variation Attack through Graph Integration Ziteng Xiong Lizhi Qing Yangyang Kang Jiawei Liu Hongsong Li Changlong Sun Xiaozhong Liu Wei Lu 54 2 0 18 Apr 2024
GenFighter: A Generative and Evolutive Textual Attack Removal Md Athikul Islam Edoardo Serra Sushil Jajodia AAML 36 0 0 17 Apr 2024
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation Kyohoon Jin Junho Lee Juhwan Choi Sangmin Song Youngbin Kim 69 0 0 22 Mar 2024
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models Cuong Dang Dung D. Le Thai Le AAML 61 2 0 18 Feb 2024
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers Tuc Nguyen Thai Le AAML SILM MoE 102 2 0 18 Jan 2024
Robust Text Classification: Analyzing Prototype-Based Networks Zhivar Sourati D. Deshpande Filip Ilievski Kiril Gashteovski S. Saralajew OOD OffRL 85 2 0 11 Nov 2023
Fooling the Textual Fooler via Randomizing Latent Representations Duy C. Hoang Quang H. Nguyen Saurav Manchanda MinLong Peng Kok-Seng Wong Khoa D. Doan SILM AAML 64 0 0 02 Oct 2023
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition Sihan Song Furao Shen Jian Zhao 46 3 0 11 Jul 2023
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification J. Wu Dit-Yan Yeung SILM 72 0 0 04 Jul 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization Songyang Gao Shihan Dou Yan Liu Xiao Wang Qi Zhang Zhongyu Wei Jin Ma Yingchun Shan OOD 60 4 0 27 Jun 2023
Investigating Masking-based Data Generation in Language Models Edward Ma 61 0 0 16 Jun 2023
Model-tuning Via Prompts Makes NLP Models Adversarially Robust Mrigank Raman Pratyush Maini J. Zico Kolter Zachary Chase Lipton Danish Pruthi AAML 71 17 0 13 Mar 2023
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend Ning Lu Shengcai Liu Zhirui Zhang Qi. Wang Haifeng Liu Jiaheng Zhang AAML 152 8 0 06 Feb 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 115 31 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 106 1 0 20 Dec 2022
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization Bairu Hou Jinghan Jia Yihua Zhang Guanhua Zhang Yang Zhang Sijia Liu Shiyu Chang SILM AAML 63 24 0 19 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 87 14 0 06 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples D. M. Nguyen Anh Tuan Luu AAML 84 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 61 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 93 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 62 56 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 84 8 0 18 Oct 2022
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework Heng Yang Ke Li 99 5 0 06 Oct 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Helen Zhou KELM OffRL 132 90 0 25 Aug 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners Canyu Chen Kai Shu VLM 95 8 0 18 May 2022
Improving robustness of language models from a geometry-aware perspective Bin Zhu Zhaoquan Gu Le Wang Jinyin Chen Qi Xuan AAML 35 9 0 28 Apr 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 81 11 0 24 Apr 2022
On Robust Prefix-Tuning for Text Classification Zonghan Yang Yang Liu VLM 68 21 0 19 Mar 2022
Using calibrator to improve robustness in Machine Reading Comprehension Jing Jin Houfeng Wang AAML 30 0 0 24 Feb 2022
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations Chris Emmery Ákos Kádár Grzegorz Chrupała Walter Daelemans 55 5 0 17 Jan 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 235 88 0 06 Dec 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 219 284 0 05 Oct 2021
SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher Thai Le Noseong Park Dongwon Lee AAML 46 21 0 17 Nov 2020