VQV Signal
Agentic AI frameworks that integrate language models with tools and memory also process images, enabling attackers to inject text via visual inputs. MMPIBench is introduced as a benchmark to evaluate the impact of such multimodal prompt injection attacks using various visual carriers.
Agentic AI frameworks that integrate language models with tools and memory also process images, enabling attackers to inject text via visual inputs. MMPIBench is introduced as a benchmark to evaluate the impact of such multimodal prompt injection attacks using various visual carriers.
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Agentic AI frameworks let a language model plan, keep memory, and call tools that reach real files, mail, and services. Most of these agents also read images, which gives an attacker a way to put text into the agent's context without going through the user. We present MMPIBench, a reproducible benchmark that...
Understanding vulnerabilities in agentic AI frameworks is critical as these systems interact with real files and services, potentially exposing sensitive operations to manipulation. MMPIBench provides a reproducible method to assess and improve the security of AI agents against multimodal attacks.
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