MAI-2024-0035

This vulnerability affects various Large Vision-Language Models LVLMs, wherein ostensibly safe images, when combined with additional safe images and specific prompts, can be exploited to produce unsafe and harmful content. The attack methodology, known as the Safety Snowball Agent, leverages the...

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-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...