Dr. Robert (“Bobby”) Bridges, Oak Ridge National Labs - Can 'Lying Smartly' Preserve Privacy?

Don't miss this chance to enhance your knowledge and stay ahead in the evolving field of AI and data privacy!

Dr. Robert (“Bobby”) Bridges, Senior Research Mathematician at Oak Ridge National Laboratory’s Cyber Resilience and Intelligence Division made a deep dive into one of the most pressing challenges organizations face when using AI on sensitive data with the title "Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?".

As data collection and storage become more frequent, ensuring privacy while enabling data analytics is critical. This session covers an introduction to Differential Privacy, focusing on the mathematics behind Differential Privacy and its application in training and releasing machine learning ML models on private datasets.

Additionally, you will gain an overview of Normalizing Flows, a family of deep networks for density learning, and explore our research on a potentially transformational method for differentially private ML.

This particular talk is for engineers, scientists, and developers, but future lectures in the series will touch on topics relevant to decision-makers at all levels in the private and public sectors.

This event is part of our AI Special Lectures on AI Security, which focuses on the role of AI in protecting against various threats and ensuring safe and reliable operation.
Watch the previous presentation: Dr. Bryan Reimer, MIT - Picking The Right Screwdriver: Perspectives on The Future of Human-Centered AI:
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