Plotting in Private

Below are a set of examples of plotting in Private. I will update this post later with more explanation, but in the meantime these should provide some insight into how to construct plots. Note the Private plotting functions are based on the seaborn plotting library. Acknowledgement: The plotting functionality and examples have been developed by […]

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Manifold Privacy: A Practical Approach to Computational Privacy for Analysis Languages

Much of the research conducted in my lab relies on using sensors and other data streams generated by smartphones, online services and IoT devices to understand human memory. Naturally, people are protective of this data. We have developed a ecosystem that strives to collect data in ways that maximise the control people have over their […]

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Bayesian Inference with Private Data

In the last tutorial, we discussed how to estimate quantities using experience sampling data that may be sensitive and therefore private. This time we are going to talk about how to do Bayesian inference, that is, how to test hypotheses. We’ll start by considering inference in general and then explore an example using experience sampling […]

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