We are excited to introduce our first guest author in this blog series, Ryan McKenna, at University of Massachusetts at Amherst, whose research represents the state of the art in the subject of this blog post: answering workloads of statistical queries with differential privacy. – Joseph Near and David Darais To date, this series focused on relatively simple data analyses, such as learning one summary statistic about our data at a time. In reality, we’re often interested in a slightly more sophisticated analysis, so we can learn multiple trends and takeaways at once and paint a richer picture

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