AIBearisharXiv – CS AI · Mar 177/10
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VisualLeakBench: Auditing the Fragility of Large Vision-Language Models against PII Leakage and Social Engineering
Researchers introduced VisualLeakBench, a new evaluation suite that tests Large Vision-Language Models (LVLMs) for vulnerabilities to privacy attacks through visual inputs. The study found significant weaknesses in frontier AI systems like GPT-5.2, Claude-4, Gemini-3 Flash, and Grok-4, with Claude-4 showing the highest PII leakage rate at 74.4% despite having strong OCR attack resistance.
🧠 GPT-5🧠 Claude🧠 Gemini