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/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. | ||
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=References= | |||
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==Related Pages== | |||
[[Category:Symmetry]] | [[Category:Symmetry]] | ||
[[Category:Symmetry breaking]] | [[Category:Symmetry breaking]] | ||
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Revision as of 09:08, 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
- ↑ Yao, Andrew (1982). Theory and Applications of Trapdoor Functions (PDF) (Extended Abstract). local page: U.C. Berkeley. Retrieved September 1, 2021.