Mehmet Emin Aktas

Unmasking Toxicity and Vulnerabilities in Large Vision-Language Models

2026 · ACM Transactions on Intelligent Systems and Technology

The rapid advancement of Large Vision-Language Models (LVLMs) has enhanced their capabilities from content creation to productivity enhancement. Despite their innovative potential, LVLMs exhibit vulnerabilities, especially in generating potentially toxic or unsafe responses. Malicious actors …