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MITRE ATLAS Craft Adversarial Data - Adversarial Example Robustness (AML.T0043) - Compliance Obligations for Adversarial Training, Input Robustness Testing, and Worst-Case Robustness Evaluation

This node addresses MITRE ATLAS technique AML.T0043 (Craft Adversarial Data), aligning with EU AI Act Articles 9 and 15 for robust AI system defense. Key…

What MITRE ATLAS Craft Adversarial Data - Adversarial Example Robustness (AML.T0043) - Compliance Obligations for Adversarial Training, Input Robustness Testing, and Worst-Case Robustness Evaluation requires

This node addresses MITRE ATLAS technique AML.T0043 (Craft Adversarial Data), aligning with EU AI Act Articles 9 and 15 for robust AI system defense. Key compliance action involves implementing adversarial training and robustness testing against adversarial examples.

Pillar: AI Governance & Law · Authority: MITRE Corporation · Version: 1.0.1 · Last updated:

Primary source: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689

SHA-256 integrity: f8b00caadc189b9939cf5bb103119db9d1b55648ea15c99f2cea7013e4391c5d

Primary Citations — 5 traced to source

  • MITRE ATLAS - AML.T0043, https://raw.githubusercontent.com/mitre-atlas/atlas-data/main/dist/ATLAS.yaml#AML.T0043, technique description, 2024
  • EU AI Act - Regulation (EU) 2024/1689, https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689, Article 15 (Accuracy, Robustness, Cybersecurity), 2024

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