SECSEC-001 — Model Security Vulnerabilities
Backdoor Attacks Embedded in General-Purpose AI Models During Training
5/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
Malicious actors, including model providers themselves, can embed hidden backdoors into general-purpose AI models during training or fine-tuning, enabling precise manipulation of outputs at deployment. Boards face supply-chain integrity risk with limited visibility into whether adopted AI systems have been compromised before procurement.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) ↗https://airisk.mit.edu/
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