Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2012.15699
Cited By
v1
v2
v3 (latest)
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning
Findings (Findings), 2020
31 December 2020
Chenglei Si
Zhengyan Zhang
Fanchao Qi
Zhiyuan Liu
Yasheng Wang
Qun Liu
Maosong Sun
AAML
SILM
Re-assign community
ArXiv (abs)
PDF
HTML
Github (20★)
Papers citing
"Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning"
38 / 38 papers shown
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers
Lili Zhao
Qi Liu
Wei-neng Chen
Xiaoou Liu
R.-H. Sun
Min Hou
Yang Wang
Shijin Wang
496
2
0
14 Apr 2025
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
International Conference on Computational Linguistics (COLING), 2025
Yang Wang
Chenghua Lin
ELM
456
4
0
05 Jan 2025
Unitary Multi-Margin BERT for Robust Natural Language Processing
Hao-Yuan Chang
Kang L. Wang
AAML
198
0
0
16 Oct 2024
MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification
International Conference on Applications of Natural Language to Data Bases (NLDB), 2024
Harrison Gietz
Jugal Kalita
AAML
261
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
311
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
241
2
0
18 Apr 2024
GenFighter: A Generative and Evolutive Textual Attack Removal
Md Athikul Islam
Edoardo Serra
Sushil Jajodia
AAML
210
0
0
17 Apr 2024
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation
International Conference on Language Resources and Evaluation (LREC), 2024
Kyohoon Jin
Junho Lee
Juhwan Choi
Sangmin Song
Youngbin Kim
260
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
336
3
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
271
5
0
18 Jan 2024
Robust Text Classification: Analyzing Prototype-Based Networks
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Zhivar Sourati
D. Deshpande
Filip Ilievski
Kiril Gashteovski
S. Saralajew
OOD
OffRL
334
8
0
11 Nov 2023
Fooling the Textual Fooler via Randomizing Latent Representations
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Duy C. Hoang
Quang H. Nguyen
Saurav Manchanda
MinLong Peng
Kok-Seng Wong
Khoa D. Doan
SILM
AAML
321
2
0
02 Oct 2023
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition
AAAI Conference on Artificial Intelligence (AAAI), 2023
Sihan Song
Jian Zhao
Jian Zhao
261
6
0
11 Jul 2023
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification
J. Wu
Dit-Yan Yeung
SILM
377
1
0
04 Jul 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Songyang Gao
Jiajun Sun
Yan Liu
Xiao Wang
Qi Zhang
Zhongyu Wei
Jin Ma
Yingchun Shan
OOD
226
9
0
27 Jun 2023
Investigating Masking-based Data Generation in Language Models
Edward Ma
310
0
0
16 Jun 2023
Model-tuning Via Prompts Makes NLP Models Adversarially Robust
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Mrigank Raman
Pratyush Maini
J. Zico Kolter
Zachary Chase Lipton
Danish Pruthi
AAML
224
19
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
386
15
0
06 Feb 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
ACM Computing Surveys (ACM CSUR), 2022
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
368
60
0
21 Dec 2022
On-the-fly Denoising for Data Augmentation in Natural Language Understanding
Findings (Findings), 2022
Tianqing Fang
Wenxuan Zhou
Fangyu Liu
Hongming Zhang
Yangqiu Song
Muhao Chen
356
1
0
20 Dec 2022
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
International Conference on Learning Representations (ICLR), 2022
Bairu Hou
Jinghan Jia
Yihua Zhang
Guanhua Zhang
Yang Zhang
Sijia Liu
Shiyu Chang
SILM
AAML
214
27
0
19 Dec 2022
Robust Lottery Tickets for Pre-trained Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Rui Zheng
Rong Bao
Yuhao Zhou
Di Liang
Sirui Wang
Wei Wu
Tao Gui
Tao Gui
Xuanjing Huang
AAML
246
22
0
06 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
D. M. Nguyen
Anh Tuan Luu
AAML
333
28
0
05 Nov 2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zihan Zhang
Jinfeng Li
Ning Shi
Bo Yuan
Xiangyu Liu
Rong Zhang
Hui Xue
Donghong Sun
Chao Zhang
AAML
198
7
0
28 Oct 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Fan Yin
Yao Li
Cho-Jui Hsieh
Kai-Wei Chang
AAML
316
4
0
22 Oct 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Yangyi Chen
Hongcheng Gao
Ganqu Cui
Fanchao Qi
Longtao Huang
Zhiyuan Liu
Maosong Sun
SILM
259
103
0
19 Oct 2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Lan Jiang
Hao Zhou
Yankai Lin
Peng Li
Jie Zhou
R. Jiang
AAML
291
9
0
18 Oct 2022
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Heng Yang
Ke Li
275
9
0
06 Oct 2022
Shortcut Learning of Large Language Models in Natural Language Understanding
Communications of the ACM (CACM), 2022
Mengnan Du
Fengxiang He
Na Zou
Dacheng Tao
Helen Zhou
KELM
OffRL
457
114
0
25 Aug 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Canyu Chen
Kai Shu
VLM
455
12
0
18 May 2022
Improving robustness of language models from a geometry-aware perspective
Findings (Findings), 2022
Bin Zhu
Zhaoquan Gu
Le Wang
Jinyin Chen
Qi Xuan
AAML
204
10
0
28 Apr 2022
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
Minyi Zhao
Lu Zhang
Yi Xu
Jiandong Ding
Jihong Guan
Shuigeng Zhou
VLM
244
13
0
24 Apr 2022
On Robust Prefix-Tuning for Text Classification
International Conference on Learning Representations (ICLR), 2022
Zonghan Yang
Yang Liu
VLM
262
23
0
19 Mar 2022
Using calibrator to improve robustness in Machine Reading Comprehension
Jing Jin
Houfeng Wang
AAML
174
0
0
24 Feb 2022
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
International Conference on Language Resources and Evaluation (LREC), 2022
Chris Emmery
Ákos Kádár
Grzegorz Chrupała
Walter Daelemans
247
8
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
J. Zhang
Yue Zhang
480
99
0
06 Dec 2021
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
555
372
0
05 Oct 2021
SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Thai Le
Noseong Park
Dongwon Lee
AAML
210
25
0
17 Nov 2020
1
Page 1 of 1
