SECSEC-001 — Model Security VulnerabilitiesNew
Training Data Poisoning Introduces Hidden Backdoors in Large Language Models
4/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
Registered access
This case is from the last 90 days.
Recent classified cases are reserved for registered users. Sign up free to read full executive summaries, see live Risk Index scoring, and run one Test Your Use Case scorecard a day.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024) ↗https://airisk.mit.edu/
Could this happen in your organisation?
A Velinor AI Audit maps your active AI portfolio against the 48 blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.