AML.T0043.000
White-Box Optimization

MITRE source definition

In White-Box Optimization, the adversary has full access to the target model and optimizes the adversarial example directly. Adversarial examples trained in this manner are most effective against the target model.

Source modified 2026-05-27. Reproduced from the pinned ATLAS release; inline technique links resolve to local reference pages.

Parent, sub-techniques and ATT&CK references

• AML.T0043 Craft Adversarial Data — parent

Source-backed defensive context

MITRE mitigations

• AML.M0003 Predictive AI Model Hardening
• AML.M0005 Control Access to AI Models and Data at Rest
• AML.M0006 Predictive AI Ensembles
• AML.M0010 Predictive AI Input Restoration
• AML.M0015 Predictive AI Adversarial Input Detection
• AML.M0017 AI Model Distribution Methods

MITRE case studies

• AML.CS0010 Microsoft Azure Service Disruption · Exercise
• AML.CS0012 Face Identification System Evasion via Physical Countermeasures · Exercise
• AML.CS0058 Google Photos AI Model Extraction · Exercise

These are explicit source relationships, not independently reproduced incidents or validated detection coverage.

Simulation and telemetry boundary

This is a technique reference page, not a runnable simulation. No ATLAS-specific telemetry mapping, local attack execution or detector validation is asserted. MITRE maturity describes its source evidence, not a 1200km lab result.

For broader context—not technique-specific control mappings—see AI Security, AI Security Course, and detection-validation methodology.

Provenance and attribution

Immutable MITRE ATLAS source · Import provenance · Attribution and transformation notice · Apache License 2.0

Copyright 2021-2026 MITRE. Source text and explicit relationships are retained; navigation, formatting and local links are provided by 1200km.

No explicit relationship in this pinned source.