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Local Differential Privacy allows individuals to share their personal data without compromising their privacy. In traditional data collection and analysis methods, sensitive information such as names, addresses, and other identifying details may ...
With the growth in Vehicular Ad Hoc Network (VANET) technology, many vehicular devices are communicating with each other and with the edge nodes, generating a massive amount of data. One of the biggest challenges is to preserve users’ privacy as ...
We introduce Deep Sketches, which are compact models of databases that allow us to estimate the result sizes of SQL queries. Deep Sketches are powered by a new deep learning approach to cardinality estimation that can capture correlations between ...
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