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Achieving Model Robustness through Discrete Adversarial Training

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021

11 April 2021

Papers citing "Achieving Model Robustness through Discrete Adversarial Training"

20 / 20 papers shown

Title
Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix ApproachAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Mohammed Bouri Adnane Saoud AAML SILM 161 0 0 14 Jul 2025
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 245 9 0 19 Oct 2024
CERT-ED: Certifiably Robust Text Classification for Edit DistanceConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Zhuoqun Huang Yipeng Wang Seunghee Shin Benjamin I. P. Rubinstein AAML 237 1 0 01 Aug 2024
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training Feiteng Fang Yuelin Bai Shiwen Ni Min Yang Xiaojun Chen Ruifeng Xu AAML RALM 318 65 0 31 May 2024
Large language models in 6G security: challenges and opportunities Tri Nguyen Huong Nguyen Ahmad Ijaz Saeid Sheikhi Athanasios V. Vasilakos Panos Kostakos ELM 230 24 0 18 Mar 2024
eXplainable Bayesian Multi-Perspective Generative Retrieval EuiYul Song Philhoon Oh Sangryul Kim Hyunjung Shim BDL 205 0 0 04 Feb 2024
Fast Adversarial Training against Textual Adversarial Attacks Yichen Yang Xin Liu Kun He AAML 150 6 0 23 Jan 2024
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyHigh-Confidence Computing (HC), 2023 Yifan Yao Jinhao Duan Kaidi Xu Yuanfang Cai Eric Sun Yue Zhang PILM ELM 498 879 0 04 Dec 2023
BERT Lost Patience Won't Be Robust to Adversarial SlowdownNeural Information Processing Systems (NeurIPS), 2023 Zachary Coalson Gabriel Ritter Rakesh Bobba Sanghyun Hong AAML 297 2 0 29 Oct 2023
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial TrainingInterspeech (Interspeech), 2023 Gege Qi YueFeng Chen Xiaofeng Mao Yang Liu Ranjie Duan Rong Zhang Hui Xue VLM AAML 171 1 0 24 Jul 2023
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification J. Wu Dit-Yan Yeung SILM 230 0 0 04 Jul 2023
The Best Defense is Attack: Repairing Semantics in Textual Adversarial ExamplesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Heng Yang Ke Li AAML 271 4 0 06 May 2023
Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial RobustnessIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022 Jiahao Zhao Wenji Mao DRL OOD 132 7 0 26 Oct 2022
TCAB: A Large-Scale Text Classification Attack Benchmark Kalyani Asthana Zhouhang Xie Wencong You Adam Noack Jonathan Brophy Sameer Singh Daniel Lowd 289 3 0 21 Oct 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLPConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Yangyi Chen Hongcheng Gao Ganqu Cui Fanchao Qi Longtao Huang Zhiyuan Liu Maosong Sun SILM 159 90 0 19 Oct 2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Lan Jiang Hao Zhou Yankai Lin Peng Li Jie Zhou R. Jiang AAML 189 9 0 18 Oct 2022
Enhance the Visual Representation via Discrete Adversarial TrainingNeural Information Processing Systems (NeurIPS), 2022 Xiaofeng Mao YueFeng Chen Ranjie Duan Yao Zhu Gege Qi Shaokai Ye Xiaodan Li Rong Zhang Hui Xue 212 43 0 16 Sep 2022
A Simple Structure For Building A Robust ModelInternational Conference on Interaction Sciences (ICIS), 2022 Xiao Tan Jingbo Gao Ruolin Li AAML OOD 179 4 0 25 Apr 2022
Identifying Adversarial Attacks on Text Classifiers Zhouhang Xie Jonathan Brophy Adam Noack Wencong You Kalyani Asthana Carter Perkins Sabrina Reis Sameer Singh Daniel Lowd AAML 144 11 0 21 Jan 2022
Improving Question Answering Performance Using Knowledge Distillation and Active LearningEngineering applications of artificial intelligence (EAAI), 2021 Yasaman Boreshban Seyed Morteza Mirbostani Gholamreza Ghassem-Sani Seyed Abolghasem Mirroshandel Shahin Amiriparian 183 18 0 26 Sep 2021