SECSEC-001 — Model Security Vulnerabilities
Goal Hijacking: LLMs Overridden by Embedded Deceptive Instructions
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models can be manipulated by injected instructions that override original user intent, producing harmful or false outputs on demand. This undermines the reliability of AI-assisted services and exposes firms to liability where models are deployed in regulated or public-facing contexts.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Safety Assessment of Chinese Large Language Models (Sun2023) ↗https://airisk.mit.edu/
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