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Create privacy-preserving synthetic data for machine learning with SmartNoise 

Watch our webinar on Open Data Science Conference  Read the white paper on SmartNoise Differential Privacy machine learning case studies The COVID-19 pandemic demonstrates the tremendous importance of sufficient and relevant data for research, causal analysis, government action, and medical progress. However, for understandable data protection considerations, individuals and decision-makers are often very reluctant to share personal or sensitive data....Read more