DIKU Bits: Data Analysis in Curved Spaces

SPEAKER

Rasmus Pagh, professor in the Algorithms and Complexity section at DIKU.

ABSTRACT

In 1997 Latanya Sweeney identified the patient records of the governor of Massachusetts by combining “anonymized” patient records with data from other public sources. More recently, researchers in Australia found that medical records of 2.5 million Australians are re-identifiable in an “anonymized” public health data set. This talk discusses how clever use of algorithms and probability theory can allow us to avoid such situations, guaranteeing privacy *and* allowing us to analyze sensitive data.

Read more about the lecture here

Participate online via zoom: https://ucph-ku.zoom.us/j/69634463273

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DIKU Bits is an open and free lecture series targeted at bachelor students at DIKU and related areas – but open for everyone interested.