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Parameter-efficient fine-tuning (PEFT) can bridge the gap between large language models (LLMs) and downstream tasks.
The information bottleneck method
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Mining and summarizing customer reviews
Minqing Hu and Bing Liu. 2004 · 2004
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Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
Bo Pang and Lillian Lee. 2005 · 2005
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton. 2008 · 2008
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Ape210k: A large-scale and template-rich dataset of math word problems
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Learning word vectors for sentiment analysis
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Recursive deep models for semantic compositionality over a sentiment treebank
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Deep learning and the information bottleneck principle
Naftali Tishby and Noga Zaslavsky. 2015 · 2015
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Character-level convolutional networks for text classification
Xiang Zhang, Junbo Zhao, and Yann LeCun. 2015 · 2015
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Badnets: Identifying vulnerabilities in the machine learning model supply chain
Tianyu Gu, Brendan Dolan-Gavitt, and Siddharth Garg. 2017 · 2017
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Fine-pruning: Defending against backdooring attacks on deep neural networks
Kang Liu, Brendan Dolan-Gavitt, and Siddharth Garg. 2018 · 2018
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A backdoor attack against lstm-based text classification systems
Jiazhu Dai, Chuanshuai Chen, and Yufeng Li. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Neural cleanse: Identifying and mitigating backdoor attacks in neural networks
Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, and Ben Y Zhao. 2019 · 2019
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Weight poisoning attacks on pretrained models
Keita Kurita, Paul Michel, and Graham Neubig. 2020 · 2020
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Knowledge distillation for multi-task learning
Wei-Hong Li and Hakan Bilen. 2020 · 2020
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Anti-distillation backdoor attacks: Backdoors can really survive in knowledge distillation
Yunjie Ge, Qian Wang, Baolin Zheng, Xinlu Zhuang, Qi Li, Chao Shen, and Cong Wang. 2021 · 2021
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Lora: Low-rank adaptation of large language models
Edward J Hu, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al. 2021 · 2021
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The power of scale for parameter-efficient prompt tuning
Brian Lester, Rami Al-Rfou, and Noah Constant. 2021 · 2021
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Onion: A simple and effective defense against textual backdoor attacks
Fanchao Qi, Yangyi Chen, Mukai Li, Yuan Yao, Zhiyuan Liu, and Maosong Sun. 2021a · 2021
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Expose backdoors on the way: A feature-based efficient defense against textual backdoor attacks
Sishuo Chen, Wenkai Yang, Zhiyuan Zhang, , et al. 2022 · 2022
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Triggerless backdoor attack for nlp tasks with clean labels
Leilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Yi Yang, Shangwei Guo, and Chun Fan. 2022 · 2022
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Knowledge distillation from a stronger teacher
Tao Huang, Shan You, Fei Wang, Chen Qian, and Chang Xu. 2022 · 2022
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Backdoor defense with machine unlearning
Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, and Jianfeng Ma. 2022 · 2022
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A survey of machine unlearning
Thanh Tam Nguyen, Thanh Trung Huynh, Phi Le Nguyen, Alan Wee-Chung Liew, Hongzhi Yin, and Quoc Viet Hung Nguyen. 2022 · 2022
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Improving neural cross-lingual abstractive summarization via employing optimal transport distance for knowledge distillation
Thong Thanh Nguyen and Anh Tuan Luu. 2022 · 2022
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Federated unlearning with knowledge distillation
Chen Wu, Sencun Zhu, and Prasenjit Mitra. 2022 · 2022
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Transferring backdoors between large language models by knowledge distillation
Pengzhou Cheng, Zongru Wu, Tianjie Ju, Wei Du, and Zhuosheng Zhang Gongshen Liu. 2024 · 2024
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Parameter-efficient fine-tuning with discrete fourier transform
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Oml: an online multi-particle locating method for high-resolution single-event effects studies
Yan-Hao Jia, Jian-Wei Liao, Hai-Bo Yang, Qi-Hao Duan, Long-Jie Wang, Jiang-Yong Du, Hong-Lin Zhang, and Cheng-Xin Zhao. 2024 · 2024
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Chatgpt as an attack tool: Stealthy textual backdoor attack via blackbox generative model trigger
Jiazhao Li, Yijin Yang, Zhuofeng Wu, VG Vinod Vydiswaran, and Chaowei Xiao. 2024b · 2024
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From shortcuts to triggers: Backdoor defense with denoised poe
Qin Liu, Fei Wang, Chaowei Xiao, and Muhao Chen. 2024c · 2024
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Fine-mixing: Mitigating backdoors in fine-tuned language models
Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, and Xu Sun. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, et al. 2023 · 2023
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Using punctuation as an adversarial attack on deep learning-based nlp systems: An empirical study
Brian Formento, Chuan Sheng Foo, Luu Anh Tuan, and See Kiong Ng. 2023 · 2023
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A gradient control method for backdoor attacks on parameter-efficient tuning
Naibin Gu, Peng Fu, Xiyu Liu, Zhengxiao Liu, Zheng Lin, and Weiping Wang. 2023 · 2023
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Revisiting data-free knowledge distillation with poisoned teachers
Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, and Jiayu Zhou. 2023 · 2023
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Vera: Vector-based random matrix adaptation
Dawid Jan Kopiczko, Tijmen Blankevoort, and Yuki M Asano. 2023 · 2023
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Defending against insertion-based textual backdoor attacks via attribution
Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, and VG Vinod Vydiswaran. 2023 · 2023
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Backdoor attacks on dense passage retrievers for disseminating misinformation
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Unlearning backdoor attacks in federated learning
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A comprehensive study of jailbreak attack versus defense for large language models
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Backdooring instruction-tuned large language models with virtual prompt injection
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Badacts: A universal backdoor defense in the activation space
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Defending against weight-poisoning backdoor attacks for parameter-efficient fine-tuning
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Universal vulnerabilities in large language models: Backdoor attacks for in-context learning
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Exploring cognitive and aesthetic causality for multimodal aspect-based sentiment analysis
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A survey of recent backdoor attacks and defenses in large language models
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