Certified Robustness to Adversarial Word Substitutions-Reference-Cited by-同舟云学术

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Certified Robustness to Adversarial Word Substitutions

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
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Author:

Jia Robin,Raghunathan Aditi,Göksel Kerem,Liang Percy

Publisher

Association for Computational Linguistics

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ranking-Incentivized Document Manipulations for Multiple Queries;Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval;2024-08-02

2. Fraud's Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process;IEEE Transactions on Knowledge and Data Engineering;2024-07

3. Adversarial attacks and defenses for large language models (LLMs): methods, frameworks & challenges;International Journal of Multimedia Information Retrieval;2024-06-25

4. Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

5. A survey of safety and trustworthiness of large language models through the lens of verification and validation;Artificial Intelligence Review;2024-06-17

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