Luo, W., Ma, S., Liu, X., Guo, X., & Xiao, C. (2024). JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks. https://arxiv.org/abs/2404.03027 JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak AttacksWith the rapid advancements in Multimodal Large Language Models (MLLMs), securing..

Liu, X., Cui, X., Li, P., Li, Z., Huang, H., Xia, S., Zhang, M., Zou, Y., & He, R. (2024). Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey. https://arxiv.org/abs/2411.09259 Jailbreak Attacks and Defenses against Multimodal Generative Models: A SurveyThe rapid evolution of multimodal foundation models has led to significant advancements in cross-modal understanding a..

Zhao, Y., Zheng, X., Luo, L., Li, Y., Ma, X., & Jiang, Y. (2024). BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks. ArXiv, abs/2410.20971.https://arxiv.org/abs/2410.20971 BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak AttacksDespite their superb multimodal capabilities, Vision-Language Models (VLMs) have been shown to be v..

Wang, R., Ma, X., Zhou, H., Ji, C., Ye, G., & Jiang, Y. (2024). White-box Multimodal Jailbreaks Against Large Vision-Language Models. ACM Multimedia.https://arxiv.org/abs/2405.17894 White-box Multimodal Jailbreaks Against Large Vision-Language ModelsRecent advancements in Large Vision-Language Models (VLMs) have underscored their superiority in various multimodal tasks. However, the adversarial ..

Qi, X., Huang, K., Panda, A., Henderson, P., Wang, M., & Mittal, P. (2024). Visual Adversarial Examples Jailbreak Aligned Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence, 38(19), 21527-21536. https://doi.org/10.1609/aaai.v38i19.30150 https://arxiv.org/abs/2306.13213 Visual Adversarial Examples Jailbreak Aligned Large Language ModelsRecently, there has been a ..