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MITRE ATLAS Exfiltration via AI Inference API Techniques (AML.T0024) - Model Inversion, Training Data Membership Inference, and AI Model Extraction Attacks Under Data Protection Law

This node addresses adversarial AI techniques under MITRE ATLAS AML.T0024, including model inversion, training data membership inference, and AI model…

What MITRE ATLAS Exfiltration via AI Inference API Techniques (AML.T0024) - Model Inversion, Training Data Membership Inference, and AI Model Extraction Attacks Under Data Protection Law requires

This node addresses adversarial AI techniques under MITRE ATLAS AML.T0024, including model inversion, training data membership inference, and AI model extraction attacks, with compliance obligations mandated by frameworks like the EU AI Act and NIST AI RMF to implement robust defenses against data exfiltration risks.

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

Primary source: https://raw.githubusercontent.com/mitre-atlas/atlas-data/main/dist/ATLAS.yaml#AML.T0024

SHA-256 integrity: cf89bd9f88c16e6df956d9eda20a8f6de929b63011dc64020ff8a6fd71f5ccff

Primary Citations — 6 traced to source

  • MITRE ATLAS - Exfiltration via AI Inference API (AML.T0024), https://raw.githubusercontent.com/mitre-atlas/atlas-data/main/dist/ATLAS.yaml#AML.T0024, AML.T0024, 2024
  • EU AI Act - Regulation (EU) 2024/1689 on Artificial Intelligence, https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689, Article 15 (Cybersecurity Requirements), 2024

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