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What is Strategies for Detecting Data Leakage about?

This document discusses detecting data leakage by modeling it as a maximum likelihood problem and distributing data to minimize overlaps between what is provided to different agents. It describes the problem entities, such as a dataset, agents requesting data, and leaked profiles. It then covers guilt models for determining the probability an agent is guilty of leaking data. Finally, it proposes distribution strategies for sample and explicit data requests that aim to provide disjoint data sets to different

Author

Vishal Patil

Language

EN