Difference between revisions of "Trapdoor function"

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Trapdoor function<ref>{{:Paper/The Theory and Applications of Trapdoor Functions}}</ref> is a function that has an asymmetrical computing performance that differentiate the direction of inferences between its input data and output data.
Trapdoor function<ref>{{:Paper/Theory and Applications of Trapdoor Functions}}</ref> is a function that has an asymmetrical computing performance that differentiate the direction of inferences between its input data and output data.


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Latest revision as of 09:13, 1 September 2021

Trapdoor function[1] is a function that has an asymmetrical computing performance that differentiate the direction of inferences between its input data and output data.


References

  1. Yao, Andrew (1982). Theory and Applications of Trapdoor Functions (PDF) (Extended Abstract). local page: U.C. Berkeley. Retrieved September 1, 2021. 

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