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| AITG-DAT-06 | [Testing for Robustness to New Data](content/tests/AITG-MOD-06_Testing_for_Robustness_to_New_Data.md) |
| AITG-DAT-07 | [Testing for Goal Alignment ](content/tests/AITG-MOD-07_Testing_for_Goal_Alignment.md) |
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Updated the testing methodology for training data exposure vulnerabilities in AI systems, detailing the setup and execution of tests for direct storage access and inference-based data extraction.
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feat: add structured output attack example with source
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Updated the title of the testing document to reflect prompt disclosure.
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Updated the document to enhance clarity and detail in the explanation of testing for explainability and interpretability in AI systems. Added specific objectives, expected outputs, remediation strategies, and suggested tools.
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Updated the structure and content of the testing document to improve clarity and organization, including renaming sections and enhancing remediation strategies.
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Updated section headers to improve clarity and consistency in the testing document.
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Updated expected output criteria for model extraction testing, clarifying fidelity levels and defensive mechanisms.
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