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Current estimation techniques for the probability of decryption failures in Ring/Mod-LWE/LWR based schemes assume independence of the failures in individual bits of the transmitted message to calculat...
In this paper we investigate the impact of decryption failures on the chosen-ciphertext security of (Ring/Module)-Learning With Errors and (Ring/Module)-Learning with Rounding based primitives. Our an...
In this paper, we propose a new assumption, the Computational Learning With Rounding over rings, which is inspired by the computational Diffie-Hellman problem. Assuming the hardness of ring-LWE, we pr...
In this paper, we introduce Saber, a package of cryptographic primitives whose security relies on the hardness of the Module Learning With Rounding problem (Mod-LWR). We first describe a secure Diffie...
In an accountable anonymous system, a user is guaranteed anonymity and unlinkability unless some well-defined condition is met. A line of research focus on schemes that do not rely on any trusted thir...
The Learning with Errors (LWE) is one of the most promising primitive for post-quantum cryptography due to its strong security reduction from the worst-case of NP-hard problems and its lightweight ope...
The Learning with Rounding (LWR) problem was first introduced by Banerjee, Peikert, and Rosen (Eurocrypt 2012) as a derandomized form of the standard Learning with Errors (LWE) problem. The origina...
The Learning With Error problem (LWE) is becoming more and more used in cryptography, for instance, in the design of some fully homomorphic encryption schemes. It is thus of primordial importance to...

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