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XTR / Mathematics / Cryptography / Learning with errors / Machine learning


Low Noise LPN: KDM Secure Public Key Encryption and Sample Amplification∗ Nico D¨ottling†‡ Dept. of Computer Science, Aarhus University January 12, 2015
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Document Date: 2015-01-12 05:14:03


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Country

China / /

Facility

Aarhus University / /

IndustryTerm

statistical tools / sample preserving search / search-to-decision reduction / search algorithm/adversary / adversary/search algorithm / search problem / search algorithm / search problems / search algorithms / /

Organization

Danish National Research Foundation / Aarhus University / Danish Strategic Research Council / National Science Foundation / Sino-Danish Center for the Theory of Interactive Computation / /

Position

author / Alperin-Sheriff / IND-CPA / standard IND-CPA / experiment KDM-CPA / KDM-CPA / /

ProgrammingLanguage

D / R / C / /

RadioStation

Fm 2 / Fm 2 B / /

Technology

Encryption / distinguishing algorithm / 4 KDM Secure Public Key Encryption / cryptography / 1.2 KDM Secure Public Key Encryption / PPT algorithm / Public Key / adversary/search algorithm / search algorithm / search algorithms / secure public key encryption / private key / secret key / three PPT algorithms / following algorithms / 2.2 Key Dependent Message Secure Public Key Encryption / /

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