#pii-leakage News & Analysis

2 articles tagged with #pii-leakage. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBearisharXiv – CS AI · Jun 107/10

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The Interlocutor Effect: Why LLMs Leak More Personal Data to Agents Than Humans

Researchers discovered that Large Language Models leak significantly more personally identifiable information (PII) when interacting with AI agents compared to human users, despite identical safety mechanisms. The study identifies an 'Interlocutor Effect' where LLMs reduce privacy caution based on perceived recipient identity, with leakage rates increasing up to 23 percentage points when addressing AI agents, raising critical security concerns for multi-agent system architectures.

🧠 Llama

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