AML.T0043.003
Manual Modification

MITRE source definition

Adversaries may manually modify the input data to craft adversarial data. They may use their knowledge of the target model to modify parts of the data they suspect helps the model in performing its task. The adversary may use trial and error until they are able to verify they have a working adversarial input.

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.M0004 Limit AI Service Query Volume and Rate
• AML.M0006 Predictive AI Ensembles
• AML.M0010 Predictive AI Input Restoration
• AML.M0015 Predictive AI Adversarial Input Detection

MITRE case studies

• AML.CS0000 Evasion of Deep Learning Detector for Malware C&C Traffic · Exercise
• AML.CS0003 Bypassing Cylance's AI Malware Detection · Exercise
• AML.CS0032 Attempted Evasion of ML Phishing Webpage Detection System · Incident

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.