Difference between revisions of "Differential privacy"

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* [http://www.lix.polytechnique.fr/~dale/papers/qapl-2013.pdf Preserving differential privacy under finite-precision semantics], Ivan Gazeau, Dale Miller, and Catuscia Palamidessi INRIA and LIX, Ecole Polytechnique
* [http://www.lix.polytechnique.fr/~dale/papers/qapl-2013.pdf Preserving differential privacy under finite-precision semantics], Ivan Gazeau, Dale Miller, and Catuscia Palamidessi INRIA and LIX, Ecole Polytechnique
== Other attacks ==
* [http://www.cse.psu.edu/~duk17/papers/definetti.pdf Attacks on Privacy and deFinetti’s Theorem], Daniel Kifer, Penn State University, 2017


== See Also ==
== See Also ==

Revision as of 21:56, 13 February 2017

A few references on Differential Privacy, for people who don't want to get bogged down with the math.

Video

Differential Privacy and Floating Point Accuracy

Floating point math on computer's isn't continuous, and differential privacy implementations that assume it is may experience a variety of errors that result in privacy loss. A discussion of the problems inherently in floating-point arithmetic can be found in Oracle's What Every Computer Scientist Should Know About Floating-Point Arithmetic, an edited reprint of the paper What Every Computer Scientist Should Know About Floating-Point Arithmetic, by David Goldberg, published in the March, 1991 issue of Computing Surveys.

Other attacks

See Also