Machine learning (ML) has become one of the most powerful classes of tools for artificial intelligence, personalized web services and data science problems across fields. However, the use of ML on sensitive data sets involving medical, financial and behavioral data are greatly limited due to privacy concern. In this talk, we consider the problem of statistical learning with privacy constraints. Under Vapnik's general learning setting and the formalism of differential privacy (DP), we establish simple conditions that characterizes the private learnability, which reveals a mixture of positive and negative insight. We then identify generic methods that reuse existing randomness to effectively solve private learning in practice; and discuss a weaker notion of privacy — on-avg KL-privacy — that allows for orders-of-magnitude more favorable privacy-utility tradeoff, while preserving key properties of differential privacy. Moreover, we show that On-Average KL-Privacy is **equivalent** to generalization for a large class of commonly-used tools in statistics and machine learning that sample from Gibbs distributions---a class of distributions that arises naturally from the maximum entropy principle. Finally, I will describe a few exciting future directions that use statistics/machine learning tools to advance he state-of-the-art for privacy, and use privacy (and privacy inspired techniques) to formally address the problem of p-hacking in scientific discovery.
See more on this video at https://www.microsoft.com/en-us/research/video/towards-practical-machine-learning-differential-privacy-beyond/
His health issues were debilitating.
Everyday rituals to ensure a relaxing nights rest.
All the wellness news you need to know today, including a huge almond milk recall, peppers saving grasslands, and the pH of your brain.
9 Giant Companies That Have Made Impressive Green Commitments This Year.
Some good things have happened in 2018 after all.
It all has to do with the gut-brain connection.
First Tennessee Bank extends partnership with Bristol Motor Speedway.
NASCAR Related Racing Birthdays.
Sunday Watkins Glen Notebook.
Kahne expected to remain at Leavine Family Racing.
Cummins joins Stewart-Haas Racing.
Civil trial against Greg Biffle underway.
Hendrick Motorsports extends relationships with Nationwide and Alex Bowman.
Hanson to sing National Anthem at Darlington Raceway.
Sad News - Tom Higgins.
NASCAR considering rule change on windshield wipers.