SECSEC-001 — Model Security Vulnerabilities
Risks from AI systems (Risks of exploitation through defects and backdoors) — case from AI Safety Governance Framework
3/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
The standardized API, feature libraries, toolkits used in the design, training, and verification stages of AI algorithms and models, development interfaces, and execution platforms may contain logical flaws and vulnerabilities. These weaknesses can be exploited, and in some cases, backdoors can be intentionally embedded, posing significant risks of being triggered and used for attacks.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — AI Safety Governance Framework (TC2602024) ↗https://airisk.mit.edu/
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