The adversarial ML test results archive contains the structured reports from every adversarial testing execution. Each report documents the testing methodology, the attack types tested, the perturbation budgets used, the success rates achieved, the comparison against declared robustness thresholds, and any findings that exceeded the risk acceptance threshold.

The archive is organised chronologically, enabling trend analysis: are adversarial success rates improving or degrading over successive model versions? Are new attack types revealing previously unknown vulnerabilities? The trend data informs the risk register and the threat model update cycle.

Remediation records are linked to specific findings, documenting the actions taken (model retraining, architecture changes, control strengthening) and the re-testing results confirming effectiveness. The archive is retained for the ten-year period.

Key outputs

• Chronological archive of adversarial ML test reports
• Per-report methodology, results, and threshold comparison
• Linked remediation records with re-testing verification
• Module 9 and Module 5 AISDP evidence