ATLAS Landscape
AML.T0024.000
Infer Training Data Membership
Adversaries may infer the membership of a data sample or global characteristics of the data in its training set, which raises privacy concerns. Some strategies make use of a shadow model that could be obtained via [Train Proxy via Replication](/techniques/AML.T0005.001), others use statistics of model prediction scores. This can cause the victim model to leak private information, such as PII of those in the training set or other forms of protected IP.
1 CVEs mapped
View on MITRE ATLAS →
| Severity | CVE | Headline | Package | CVSS |
|---|---|---|---|---|
| MEDIUM | CVE-2025-46153 | PyTorch: Dropout inconsistency enables membership inference | pytorch | 5.3 |
AI Threat Alert