101 indexed
ATLASATLAS adversarial ML techniques
101 MITRE ATLAS top-level techniques covering the adversarial-ML attack surface, grouped by tactic. Authored by Adam Lundqvist.
4 in Collection · 101 total
| ID | Title | Summary |
|---|---|---|
| AML.T0035 | AI Artifact Collection | Adversaries may collect AI artifacts for [Exfiltration](/tactics/AML.TA0010) or for use in [AI Attack Staging](/tactics/AML.TA0001). AI artifacts include model… |
| AML.T0036 | Data from Information Repositories | Adversaries may leverage information repositories to mine valuable information. Information repositories are tools that allow for storage of information, typic… |
| AML.T0037 | Data from Local System | Adversaries may search local system sources, such as file systems and configuration files or local databases, to find files of interest and sensitive data prio… |
| AML.T0085 | Data from AI Services | Adversaries may use their access to a victim organization's AI-enabled services to collect proprietary or otherwise sensitive information. As organizations ado… |