🧑‍🔬 Who cites Jack Lanchantin

256 citations of their works from 231 papers of our library (of the 141,840 whose bibliographies we read) · 27 with a page here, the most cited first · ← Jack Lanchantin

1. Generating Natural Language Adversarial Examples through Probability Weighted Word SaliencyShuhuai Ren, Yihe Deng, Kun He, et al.2019 · 884 citations
2. TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLPJohn X. Morris, Eli Lifland, Jin Yong Yoo, et al.2020 · 858 citations
3. BERT-ATTACK: Adversarial Attack Against BERT Using BERTLinyang Li, Ruotian Ma, Qipeng Guo, et al.2020 · 841 citations
4. Analysis Methods in Neural Language Processing: A SurveyYonatan Belinkov, James Glass2019 · 737 citations
5. BAE: BERT-based Adversarial Examples for Text ClassificationSiddhant Garg, Goutham Ramakrishnan2020 · 665 citations
6. TextBugger: Generating Adversarial Text Against Real-world ApplicationsJinfeng Li, Shouling Ji, Tianyu Du, et al.2018 · 543 citations
7. Word-level Textual Adversarial Attacking as Combinatorial OptimizationYuan Zang, Fanchao Qi, Chenghao Yang, et al.2020 · 340 citations
8. AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language ModelsXiaogeng Liu, Nan Xu, Muhao Chen, et al.2023 · 334 citations
9. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsKaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 303 citations
10. Chain-of-Verification Reduces Hallucination in Large Language ModelsShehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, et al.2023 · 299 citations
11. Contextualized Perturbation for Textual Adversarial AttackDianqi Li, Yizhe Zhang, Hao Peng, et al.2021 · 282 citations
12. Baseline Defenses for Adversarial Attacks Against Aligned Language ModelsNeel Jain, Avi Schwarzschild, Yuxin Wen, et al.2023 · 225 citations
13. Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style TransferFanchao Qi, Yangyi Chen, Xurui Zhang, et al.2021 · 188 citations
14. Gradient-based Adversarial Attacks against Text TransformersChuan Guo, Alexandre Sablayrolles, Hervé Jégou, et al.2021 · 187 citations
15. Reevaluating Adversarial Examples in Natural LanguageJohn Morris, Eli Lifland, Jack Lanchantin, et al.2020 · 151 citations
16. Measure and Improve Robustness in NLP Models: A SurveyXuezhi Wang, Haohan Wang, Diyi Yang2022 · 148 citations
17. Quiet-STaR: Language models can teach themselves to think before speaking2024 · 113 citations
18. RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text DetectorsLiam Dugan, Alyssa Hwang, Filip Trhlík, et al.2024 · 110 citations
19. Defending Against Alignment-Breaking Attacks via Robustly Aligned LLMBochuan Cao, Yuanpu Cao, Lu Lin, et al.2024 · 107 citations
20. Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM AssessmentVyas Raina, Adian Liusie, Mark Gales2024 · 85 citations
21. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksErfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
22. A Comprehensive Survey on Long Context Language ModelingJiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
23. Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial ExamplesXiaoqing Zheng, Jiehang Zeng, Yi Zhou, et al.2020 · 54 citations
24. A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial ExamplesYuxuan Wang, Wanxiang Che, Ivan Titov, et al.2021 · 8 citations
25. Evaluation of Adversarial Robustness in Arabic Language ModelsAnwar Alajmi, Ayed Salman, Imtiaz Ahmad2026 · 1 citation
26. SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent SpaceViktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al.2026
27. Robustness Evaluation of ChatGPT Against Chinese Adversarial Attacks (中文对抗攻击下的ChatGPT鲁棒性评估)Yunting Zhang (张云婷), Lin Ye (叶麟), Baisong Li (李柏松), et al.2025

204 more citing papers of our library have no page here yet.

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