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Probabilistic relational reasoning for differential privacy
2012
SIGPLAN notices
Differential privacy is a notion of confidentiality that protects the privacy of individuals while allowing useful computations on their private data. Deriving differential privacy guarantees for real programs is a difficult and error-prone task that calls for principled approaches and tool support. Approaches based on linear types and static analysis have recently emerged; however, an increasing number of programs achieve privacy using techniques that cannot be analyzed by these approaches.
doi:10.1145/2103621.2103670
fatcat:j7tcpaj5dfd67i5xclew3gj3ha