AI Privacy Auditing

Privacy Meter module audits data privacy in AI statistical and Machine Learning models.

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Benefits

Use TRAMS.ai Privacy Meter to obtain aggregate and per-record privacy risk assessments, helping identify records most at risk of exposure

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Features

Audit

Audit data privacy in statistical and machine learning models.

Assessment

Quantitative assessment of privacy risks such as information leakage and membership inference across various AI use cases.

Attack scenarios

Leverage state-of-the-art privacy attacks to evaluate models used in sensitive fields like healthcare and finance.

Implements advanced membership inference attacks to test if an adversary can determine whether a specific data point was part of a model’s training set.

Risk scores and Reporting

Helps organisations and researchers identify high-risk data records and supports data protection impact assessments.

Unified AI Governance and Advanced Data Privacy