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You have completed (UPI) Chapter 16: Emerging Technologies in Cybersecurity!
Instruction
16.2.2 Learning with Rounding Cryptography
The learning with rounding (LWR) problem was first introduced by Banerjee . It is the derandomized version of learning with error (LWE), which deterministically generates the noise in LWE by rounding coefficients. This eliminates the noise sampling and significantly reduces the bandwidth . LWR is proven to be as hard as LWE to solve, hence it remains secure for cryptographic applications. In ...