Achieving Model Robustness through Discrete Adversarial Training

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Achieving Model Robustness through Discrete Adversarial Training

11 April 2021

Jonathan Berant

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Papers citing "Achieving Model Robustness through Discrete Adversarial Training"

19 / 19 papers shown

Title
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 84 1 0 19 Oct 2024
CERT-ED: Certifiably Robust Text Classification for Edit Distance Zhuoqun Huang Yipeng Wang Seunghee Shin Benjamin I. P. Rubinstein AAML 100 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 135 40 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 73 13 0 18 Mar 2024
eXplainable Bayesian Multi-Perspective Generative Retrieval EuiYul Song Philhoon Oh Sangryul Kim James Thorne BDL 54 0 0 04 Feb 2024
Fast Adversarial Training against Textual Adversarial Attacks Yichen Yang Xin Liu Kun He AAML 47 4 0 23 Jan 2024
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly Yifan Yao Jinhao Duan Kaidi Xu Yuanfang Cai Eric Sun Yue Zhang PILM ELM 125 561 0 04 Dec 2023
BERT Lost Patience Won't Be Robust to Adversarial Slowdown Zachary Coalson Gabriel Ritter Rakesh Bobba Sanghyun Hong AAML 47 2 0 29 Oct 2023
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training Gege Qi YueFeng Chen Xiaofeng Mao Xiaojun Jia Ranjie Duan Rong Zhang Hui Xue VLM AAML 92 0 0 24 Jul 2023
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification J. Wu Dit-Yan Yeung SILM 74 0 0 04 Jul 2023
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples Heng Yang Ke Li AAML 114 3 0 06 May 2023
Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness Jiahao Zhao Wenji Mao DRL OOD 61 3 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 119 3 0 21 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 66 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
Enhance the Visual Representation via Discrete Adversarial Training Xiaofeng Mao YueFeng Chen Ranjie Duan Yao Zhu Gege Qi Shaokai Ye Xiaodan Li Rong Zhang Hui Xue 111 33 0 16 Sep 2022
A Simple Structure For Building A Robust Model Xiao Tan Jingbo Gao Ruolin Li AAML OOD 84 3 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 84 10 0 21 Jan 2022
Improving Question Answering Performance Using Knowledge Distillation and Active Learning Yasaman Boreshban Seyed Morteza Mirbostani Gholamreza Ghassem-Sani Seyed Abolghasem Mirroshandel Shahin Amiriparian 83 16 0 26 Sep 2021