MAI-2024-0055

Large Vision Language Models LVLMs are susceptible to a sophisticated attack known as the bi-modal adversarial prompt BAP. This attack exploits the integration of textual and visual prompts to circumvent established safety protocols, thereby eliciting harmful outputs from models engineered to...

MAI-2024-0065

The ImgTrojan attack represents a sophisticated data poisoning strategy targeting Vision-Language Models VLMs. This method enables adversaries to circumvent built-in safety protocols by introducing a minimal number of maliciously designed image-caption pairs into the training dataset. These...

MAI-2023-0006

Large Vision-Language Models VLMs are susceptible to exploitation through typographic visual prompts, a method known as jailbreaking. This vulnerability arises from the VLM's capability to process and interpret text embedded within images, circumventing safety protocols that are typically effecti...