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*''Trapdoor Function'' A family of functions <math>\{f_k : D \rightarrow R\}_{k\epsilon \{0,1\}}</math> is a trapdoor function if there exists a QPT algorithm Gen which on input <math>1^n</math> outputs <math>(k,t_k)</math>, where k represents the index of a function, <math>\{f_k : D \rightarrow R\}_{k\epsilon \{0,1\}}</math>, where <math>f_k</math> is a one-way function, then there exists a QPT algorithm Inv, which on inputs <math>t_k</math> (which is called the trapdoor information) which was output by Gen(<math>1^n</math>), and <math>y = f_k(x)</math> can invert y (by returning all pre-images of y with non-negligible probability over the choice of <math>(k,t_k)</math> and uniform choice of x. | *''Trapdoor Function'' A family of functions <math>\{f_k : D \rightarrow R\}_{k\epsilon \{0,1\}}</math> is a trapdoor function if there exists a QPT algorithm Gen which on input <math>1^n</math> outputs <math>(k,t_k)</math>, where k represents the index of a function, <math>\{f_k : D \rightarrow R\}_{k\epsilon \{0,1\}}</math>, where <math>f_k</math> is a one-way function, then there exists a QPT algorithm Inv, which on inputs <math>t_k</math> (which is called the trapdoor information) which was output by Gen(<math>1^n</math>), and <math>y = f_k(x)</math> can invert y (by returning all pre-images of y with non-negligible probability over the choice of <math>(k,t_k)</math> and uniform choice of x. | ||
== | ==Further Information== | ||
<div style='text-align: right;'>''*contributed by Shraddha Singh''</div> | |||
[[Category:Two Party Protocols]] | [[Category:Two Party Protocols]] |