Posts By Maya Anderson

Distance based metrics using holdout data
AI Privacy Toolkit gets a boost on dataset assessment in latest release

IBM’s AI Privacy Toolkit is a set of open-source tools designed to help organizations build more trustworthy AI solutions. It bundles together several practical tools and techniques related to the privacy and compliance of AI models. The toolkit is designed to be used by model developers (like data scientists) as part of their existing ML […]

Financial Use Case for PME
Parquet Modular Encryption: The New Open Standard for Big Data Security Reaches a Milestone

Parquet Modular Encryption Milestones IBM Research initiated and led joint work with the Apache Parquet community to address critical issues in securing the confidentiality and integrity of sensitive data, without degrading the performance of analytic systems [1], [2]. Apache Parquet is the industry-leading standard for the formatting, storage and efficient processing of big data. Parquet […]