🔗 Who cites «Can Indirect Prompt Injection Attacks Be Detected and Removed?»

17 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «Can Indirect Prompt Injection Attacks Be Detected and Removed?»

1. Retrieval-Augmented Generation for Natural Language Processing: A SurveyArtificial Intelligence ReviewShangyu Wu, Ying Xiong, Yufei Cui, et al.2024 · 86 citations
2. Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yuan Sui, Yufei He, Zifeng Ding, et al.2025 · 16 citations
3. Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Wenbin Hu, Haoran Li, Huihao Jing, et al.2025 · 7 citations
4. ComfyUI-R1: Exploring Reasoning Models for Workflow GenerationFindings of the Association for Computational LinguisticsZhenran Xu, Yiyu Wang, Xue Yang, et al.2026 · 1 citation
5. EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection AttacksFindings of the Association for Computational LinguisticsYijie Lu, Manman Zhao, Tianjie Ju, et al.2026

12 more papers of our library cite it; they have no page here yet.

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