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Understanding the vulnerabilities of Large Vision Language Models (LVLMs) to jailbreak attacks is essential for their responsible real-world deployment.
An image is worth 16x16 words: Transformers for image recognition at scale
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Qwen-vl: A frontier large vision-language model with versatile abilities
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Earlier work this paper cites.
Hierarchical local-global transformer for temporal sentence grounding
Xiang Fang, Daizong Liu, Pan Zhou, Zichuan Xu, and Ruixuan Li. 2023 · 2023
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Figstep: Jailbreaking large vision-language models via typographic visual prompts
Yichen Gong, Delong Ran, Jinyuan Liu, Conglei Wang, Tianshuo Cong, Anyu Wang, Sisi Duan, and Xiaoyun Wang. 2023 · 2023
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BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi. 2023 · 2023
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Jailbreaking chatgpt via prompt engineering: An empirical study
Yi Liu, Gelei Deng, Zhengzi Xu, Yuekang Li, Yaowen Zheng, Ying Zhang, Lida Zhao, Tianwei Zhang, Kailong Wang, and Yang Liu. 2023 · 2023
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Llama: Open and efficient foundation language models
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Universal and transferable adversarial attacks on aligned language models
Andy Zou, Zifan Wang, Nicholas Carlini, Milad Nasr, J Zico Kolter, and Matt Fredrikson. 2023 · 2023
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Heuristic-induced multimodal risk distribution jailbreak attack for multimodal large language models
Ma Teng, Jia Xiaojun, Duan Ranjie, Li Xinfeng, Huang Yihao, Chu Zhixuan, Liu Yang, and Ren Wenqi. 2024 · 2024
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Sneakyprompt: Jailbreaking text-to-image generative models
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, and Yinzhi Cao. 2024 · 2024
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Jailbreak attacks and defenses against large language models: A survey
Sibo Yi, Yule Liu, Zhen Sun, Tianshuo Cong, Xinlei He, Jiaxing Song, Ke Xu, and Qi Li. 2024 · 2024
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Vlattack: Multimodal adversarial attacks on vision-language tasks via pre-trained models
Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, and Fenglong Ma. 2024 · 2024
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Jailbreak vision language models via bi-modal adversarial prompt
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Ruoxi Cheng, Haoxuan Ma, Shuirong Cao, Jiaqi Li, Aihua Pei, Zhiqiang Wang, Pengliang Ji, Haoyu Wang, and Jiaqi Huo. 2024 · 2024
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Jailbreaking text-to-image models with llm-based agents
Yingkai Dong, Zheng Li, Xiangtao Meng, Ning Yu, and Shanqing Guo. 2024 · 2024
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Hts-attack: Heuristic token search for jailbreaking text-to-image models
Sensen Gao, Xiaojun Jia, Yihao Huang, Ranjie Duan, Jindong Gu, Yang Bai, Yang Liu, and Qing Guo. 2024 · 2024
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Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, and Yujun Cai. 2024 · 2024
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Improved techniques for optimization-based jailbreaking on large language models
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Effectiveness assessment of recent large vision-language models
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Zeyi Liao and Huan Sun. 2024 · 2024
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Jailbreaking prompt attack: A controllable adversarial attack against diffusion models
Jiachen Ma, Anda Cao, Zhiqing Xiao, Yijiang Li, Jie Zhang, Chao Ye, and Junbo Zhao. 2024 · 2024
Cited alongside, same era.
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Adversarial attacks against closed-source mllms via feature optimal alignment
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Introspective reward modeling via inverse reinforcement learning for llm alignment
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On the generalization of sft: A reinforcement learning perspective with reward rectification
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Haoming Yang, Ke Ma, Xiaojun Jia, Yingfei Sun, Qianqian Xu, and Qingming Huang. 2025 · 2025
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