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welcome to my acl tour 2022 talk uh called how reaper meterization trick broke differential private text representation learning my name is ivan bernal and im from trustworthy human language technologies group in germany so lets get started with some primer on differential privacy and well start with the notion of two neighboring data sets so we have one data set x which contains only one person at least and we have another data set x prime which contains one person bob for example and we call these two data sets x and x prime as neighboring because they differ just by one person now we define something which we call the numeric query and this is basically a function f which we apply to data set and we output some real valued vectors so for example a query on elise x data set could return to item vector of real numbers and similarly the query on x prime reveal some information about bob and the query is simply something we want to learn about the data set so we might have some um s