SECSEC-001 — Model Security Vulnerabilities
Adversarial Inputs Cause AI Models to Misclassify Data Undetected
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Subtle, human-imperceptible modifications to text, images, audio, or video can silently manipulate AI model outputs, producing systematic errors. Organisations relying on AI for regulatory filings, surveillance, or fraud detection face material risk of undetected manipulation compromising decision integrity.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data (Marchal2024) ↗https://airisk.mit.edu/
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