This research exposes how Large Multimodal Models (LMMs) remain vulnerable to AI-generated extremist content, creating a comprehensive benchmark to evaluate and improve security mechanisms.

Key findings:

• Existing safety evaluations lack sufficient testing against AI-generated extremist imagery
• Current LMMs demonstrate concerning vulnerabilities when processing photorealistic extremist content
• The benchmark provides a more thorough assessment framework for identifying security gaps in multimodal AI systems
• Results highlight the urgent need for improved safeguards against malicious content attacks

This research is critical for security professionals as it demonstrates how adversaries could potentially bypass AI safety measures to generate harmful outputs, emphasizing the need for more robust defenses in deployed systems.

ExtremeAIGC: Benchmarking LMM Vulnerability to AI-Generated Extremist Content