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Differential privacy enables general statistical analysis of data with formal guarantees of privacy protection at the individual level. Tools that assist data analysts with utilizing differential privacy have frequently taken the form of programming
Externí odkaz:
http://arxiv.org/abs/2103.08805
Autor:
Toro, Matías, Darais, David, Abuah, Chike, Near, Joe, Árquez, Damián, Olmedo, Federico, Tanter, Éric
Language support for differentially-private programming is both crucial and delicate. While elaborate program logics can be very expressive, type-system based approaches using linear types tend to be more lightweight and amenable to automatic checkin
Externí odkaz:
http://arxiv.org/abs/2010.11342