SECSEC-001 — Model Security Vulnerabilities
Adversarial Input Manipulation Causes AI Model Prediction Failures
4/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
Evasion attacks exploit small, deliberate input perturbations to corrupt AI model outputs, undermining the reliability of automated decisions. Boards face regulatory and liability exposure where manipulated predictions affect compliance, financial, or operational processes.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024) ↗https://airisk.mit.edu/
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