Membership inference
Determining whether a record was in the training set
categoryAI/ML and emerging attacksseverityMediumlabnot yet measured
Classification
15 values: 9 reviewed, 5 imported, 1 derived. What do these mean?
Exploitability
| Attack vector | AI model manipulation |
|---|---|
| Reach (CVSS) | Network |
| Attack complexity | High |
| Privileges required | None |
| User interaction | None |
| Attacker skill required | High |
| Resources required | Medium |
| Likelihood / prevalence | Low |
| Maturity | Theoretical |
Impact & scope
| Severity | Medium |
|---|---|
| Impact | Confidentiality |
| Platform | AI System |
| Environment | AI system |
| Target asset class | ML model / agent |
| Kill-chain phase (tactic) | Exfiltration |
Detection & response
Mitigated by 4
- AML.M0002 atlas-mitigation
- AML.M0004 atlas-mitigation
- AML.M0024 atlas-mitigation
- AML.M0035 atlas-mitigation
Framework references
- Primary source: https://arxiv.org/abs/1610.05820
- atlas: AML.T0024.000 (primary)
Evidence & sources
- ev-0001 (Cyber Attack Taxonomy) — Name, definition and Example/ID taken verbatim from the 'AI/ML and emerging attacks' table, line 621 of Cyber-Attack-Taxonomy.md