https://taxonomy.eticas.ai/risk/security-ai-attacks
The risks that arise from adversarial inputs, injected instructions, bypassed safety controls, or corrupted training data.
| Framework | Reference |
|---|---|
| EU AI Act (Regulation 2024/1689) | Article 15(5) — cybersecurity (Recital 76 enumerates poisoning, evasion, confidentiality attacks) |
| AIUC-1 — AI Underwriting Company Standard | Third-party testing of adversarial robustness |
| NIST AI Risk Management Framework (AI 100-1) | Secure & Resilient (adversarial ML) |
| Framework | Reference |
|---|---|
| W3C Data Privacy Vocabulary — AI Extension | Security Attack |
| MIT AI Risk Repository | AI system security vulnerabilities and attacks |
| IBM AI Risk Atlas | Inference → Robustness → Adversarial robustness |