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Clean-label (CL) attack is a form of data poisoning attack where an adversary modifies only the textual input of the training data, without requiring access to the labeling function.
Spam filtering with naive bayes-which naive bayes?
Vangelis Metsis, Ion Androutsopoulos, and Georgios Paliouras. 2006 · 2006
Earlier work this paper cites.
Empirical comparison of “hard” and “soft” label propagation for relational classification
Aram Galstyan and Paul R Cohen. 2007 · 2007
Earlier work this paper cites.
Certified robustness of nearest neighbors against data poisoning attacks
Jinyuan Jia, Xiaoyu Cao, and Neil Zhenqiang Gong. 2020 · 2012
Earlier work this paper cites.
Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013 · 2013
Earlier work this paper cites.
Rap: Robustness-aware perturbations for defending against backdoor attacks on nlp models
Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, and Xu Sun. 2021 · 2013
Earlier work this paper cites.
Transferability in machine learning: from phenomena to black-box attacks using adversarial samples
Nicolas Papernot, Patrick McDaniel, and Ian Goodfellow. 2016 · 2016
Earlier work this paper cites.
Badnets: Identifying vulnerabilities in the machine learning model supply chain
Tianyu Gu, Brendan Dolan-Gavitt, and Siddharth Garg. 2017 · 2017
Earlier work this paper cites.
Delving into transferable adversarial examples and black-box attacks
Yanpei Liu, Xinyun Chen, Chang Liu, and Dawn Song. 2017 · 2017
Earlier work this paper cites.
Hotflip: White-box adversarial examples for text classification
Javid Ebrahimi, Anyi Rao, Daniel Lowd, and Dejing Dou. 2018 · 2018
Cited alongside, same era.
Label sanitization against label flipping poisoning attacks
Andrea Paudice, Luis Muñoz-González, and Emil C Lupu. 2018 · 2018
Cited alongside, same era.
A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Large-scale, diverse, paraphrastic bitexts via sampling and clustering
J Edward Hu, Abhinav Singh, Nils Holzenberger, Matt Post, and Benjamin Van Durme. 2019 · 2019
Cited alongside, same era.
Sentence-bert: Sentence embeddings using siamese bert-networks
GLUE: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. 2019 · 2019
Later among the works it cites.
Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2019 · 2019
Later among the works it cites.
Simulated multiple reference training improves low-resource machine translation
Huda Khayrallah, Brian Thompson, Matt Post, and Philipp Koehn. 2020 · 2020
Later among the works it cites.
Deep partition aggregation: Provable defense against general poisoning attacks
Alexander Levine and Soheil Feizi. 2020 · 2020
Later among the works it cites.
Bert-attack: Adversarial attack against bert using bert
Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue, and Xipeng Qiu. 2020 · 2020
Later among the works it cites.
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Nils Reimers and Iryna Gurevych. 2019 · 2019
Cited alongside, same era.
Mixture models for diverse machine translation: Tricks of the trade
Tianxiao Shen, Myle Ott, Michael Auli, and Marc’Aurelio Ranzato. 2019 · 2019
Cited alongside, same era.
Universal adversarial triggers for attacking and analyzing nlp
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, and Sameer Singh. 2019 · 2019
Cited alongside, same era.
Weight poisoning attacks on pretrained models
Keita Kurita, Paul Michel, and Graham Neubig. 2020a
Cited in the paper.
Weight poisoning attacks on pretrained models
Keita Kurita, Paul Michel, and Graham Neubig. 2020b
Cited in the paper.
Bert & family eat word salad: Experiments with text understanding
Ashim Gupta, Giorgi Kvernadze, and Vivek Srikumar. 2021 · 2021
Later among the works it cites.
Onion: A simple and effective defense against textual backdoor attacks
Fanchao Qi, Yangyi Chen, Mukai Li, Yuan Yao, Zhiyuan Liu, and Maosong Sun. 2021 · 2021
Later among the works it cites.
Concealed data poisoning attacks on nlp models
Eric Wallace, Tony Zhao, Shi Feng, and Sameer Singh. 2021 · 2021
Later among the works it cites.