🔗 Who cites «FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts»

87 papers of our library cite it (of the 149,439 whose bibliographies we read) · 27 with a page here, the most cited first · ← back to «FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts»

1. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
2. MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language ModelsLecture notes in computer scienceXin Liu, Yichen Zhu, Jindong Gu, et al.2023 · 152 citations
3. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
4. JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak AttacksarXiv:2404.03027Weidi Luo, Siyuan Ma, Xiaogeng Liu, et al.2024 · 66 citations
5. MLLM-Protector: Ensuring MLLM's Safety without Hurting PerformanceConference on Empirical Methods in Natural Language Processing (EMNLP)Renjie Pi, Tianyang Han, Jianshu Zhang, et al.2024 · 58 citations
6. VLSBench: Unveiling Visual Leakage in Multimodal SafetyAnnual Meeting of the Association for Computational Linguistics (ACL)Xuhao Hu, Dongrui Liu, Hao Li, et al.2025 · 32 citations
7. Jailbreak Large Vision-Language Models Through Multi-Modal LinkageAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Wang, Xiaofei Zhou, Yichen Wang, et al.2025 · 20 citations
8. HiddenDetect: Detecting Jailbreak Attacks against Multimodal Large Language Models via Monitoring Hidden StatesAnnual Meeting of the Association for Computational Linguistics (ACL)Yilei Jiang, Xinyan Gao, Tianshuo Peng, et al.2025 · 15 citations
9. Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive ScoringAnnual Meeting of the Association for Computational Linguistics (ACL)Peichun Hua, Hao Li, Shanghao Shi, et al.2026 · 10 citations
10. VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Bingrui Sima, Linhua Cong, Wenxuan Wang, et al.2025 · 9 citations
11. GAMBIT: A Gamified Jailbreak Framework for Multimodal Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangdong Hu, Yangyang Jiang, Qin Hu, et al.2026 · 6 citations
12. Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context InjectionConference on Empirical Methods in Natural Language Processing (EMNLP)Miao Ziqi, Yi Ding, Lijun Li, et al.2025 · 6 citations
13. SafeMT: Multi-turn Safety for Multimodal Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Han Zhu, Juntao Dai, Jiaming Ji, et al.2026 · 3 citations
14. Attacker's Noise Can Manipulate Your Audio-based LLM in the Real WorldConference of the European Chapter of the Association for Computational Linguistics (EACL)Vinu Sankar Sadasivan, Soheil Feizi, Rajiv Mathews, et al.2026 · 2 citations
15. USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELSAnnual Meeting of the Association for Computational Linguistics (ACL)Baolin Zheng, Guanlin Chen, Qingyang Teng, et al.2026 · 1 citation
16. When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily LifeFindings of the Association for Computational LinguisticsXinyue Lou, Xu Jinan, Jingyi Yin, et al.2026 · 1 citation
17. CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Xu Zhang, Hao Li, Zhichao Lu2026
18. Defeating Cerberus: Privacy-Leakage Mitigation in Vision Language ModelsFindings of the Association for Computational LinguisticsBoyang Zhang, Istemi Ekin Akkus, Ruichuan Chen, et al.2026
19. DMN: A Compositional Framework for Jailbreaking Multimodal LLMs with Multi-Image InputsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenzhuo Xu, Zhipeng Wei, Zonghao Ying, et al.2026
20. ECHA: Jailbreaking LVLMs via the Mismatch between Implicit Semantic Reconstruction and Explicit Safety AlignmentFindings of the Association for Computational LinguisticsChenxing Xu, Junyong Jiang, Zehu Zhang, et al.2026
21. Hard to Read, Easy to Jailbreak: How Visual Degradation Bypasses MLLM Safety AlignmentFindings of the Association for Computational LinguisticsZhixue Song, Boyan Han, Yiwei Wang, et al.2026
22. Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt InjectionAnnual Meeting of the Association for Computational Linguistics (ACL)Zedian Shao, Hongbin Liu, Yuepeng Hu, et al.2026
23. MLingualFC: Evaluating Jailbreak Vulnerabilities in Multilingual Vision-Language ModelsWorkshop on Multilinguality in the Era of Large Language ModelsRishabh Makwana, Mamta Mamta, Deeksha Varshney, et al.2026
24. Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and BenchmarksFindings of the Association for Computational LinguisticsNobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, et al.2026
25. StructBreak: Structural Cognitive Overload-Induced Safety Failures in MLLMsFindings of the Association for Computational LinguisticsYang Luo, Liu Xinran, TianTian Ji, et al.2026
26. The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-TrainingFindings of the Association for Computational LinguisticsRui Zhang, Hongwei Li, Yun Shen, et al.2026
27. Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related ImagesAnnual Meeting of the Association for Computational Linguistics (ACL)Qishun Yang, Shu Yang, Lijie Hu, et al.2026

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