SECSEC-001 — Model Security Vulnerabilities
Adversarial Attacks and Model Theft in Transport AI Systems
4/5Sector: TransportGeography: GlobalStage: OperateIngested: —
Executive Summary
Transport AI systems face evasion attacks, data poisoning, and model theft that can subvert perception and classification without detection. Boards must treat adversarial robustness and training-data integrity as critical governance requirements, not optional technical enhancements.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — The Risks of Machine Learning Systems (Tan2022) ↗https://airisk.mit.edu/
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