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• W2613683013 abstract "The Learning Parity with Noise (LPN) problem has found many applications in cryptography due to its conjectured post-quantum hardness and simple algebraic structure. Over the years, constructions of different public-key primitives were proposed from LPN, but most of them are based on the LPN assumption with low noise rate rather than constant noise rate. A recent breakthrough was made by Yu and Zhang (Crypto’16), who constructed the first Public-Key Encryption (PKE) from constant-noise LPN. However, the problem of designing a PKE with Key-Dependent Message (KDM) security from constant-noise LPN is still open." @default.
• W2613683013 created "2017-05-19" @default.
• W2613683013 creator A5056920062 @default.
• W2613683013 creator A5073291163 @default.
• W2613683013 date "2017-01-01" @default.
• W2613683013 modified "2023-09-27" @default.
• W2613683013 title "KDM-Secure Public-Key Encryption from Constant-Noise LPN" @default.
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• W2613683013 doi "https://doi.org/10.1007/978-3-319-60055-0_3" @default.
• W2613683013 hasPublicationYear "2017" @default.
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