AI Privacy 360


The AI Privacy 360 Toolbox includes several tools to support the assessment of privacy risks of AI-based solutions, and to help them adhere to any relevant privacy requirements. Tradeoffs between privacy, accuracy, and performance can be explored at different stages in the ML lifecycle.

Not sure what to do first? Select a choice below.

Get Oriented

Learn about privacy concepts, terminology, and tools before you begin.


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Try a Web Demo

Explore an interactive demonstration of assessing and mitigating membership attacks on different models trained on different datasets.


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Read Papers

Read papers describing the details of the AI Privacy Toolkit.


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Take a Course

Get an overview of AI privacy and how open source tools from IBM can help assess and mitigate privacy risks.


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Explore Tools

Explore privacy tools and access their code.


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Ask a Question

Visit our AI Privacy Slack channel to ask questions, make comments, and tell stories about how you use the toolkit.


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About this site

The AI Privacy Toolkit was created by IBM Research.

Additional research sites that advance other aspects of Trusted AI include:

AI Fairness 360
AI Explainability 360
Adversarial Robustness 360
Uncertainty Quantification 360
AI FactSheets 360