Search results
15 paź 2019 · We present a new algorithm for solving the LPN problem. The algorithm has a similar form as some previous methods, but includes a new key step that makes use of approximations of random words to...
9 lis 2016 · We automatize the process of finding \ (\mathsf {LPN}\) solving algorithms, i.e. given a random \ (\mathsf {LPN}\) instance, our algorithm provides the description of the steps that optimize the time complexity. In our formalization we call such algorithms “optimal chains”.
Abstract. We present a new algorithm for solving the LPN problem. The algorithm has a similar form as some previous methods, but includes a new key step that makes use of approximations of random...
29 lip 2017 · We propose new algorithms with small memory consumption for the Learning Parity with Noise (LPN) problem, both classically and quantumly. Our goal is to predict the hardness of LPN depending on both parameters, its dimension k and its noise rate \ (\tau \), as accurately as possible both in theory and practice.
The fastest known algorithms for solving LPN runs in sub-exponential time in the general case and in contrast to most of the number-theoretic problems in cryptography, there is no available quantum algorithms that could solve LPN in. a signi cantly faster time than the classical ones.
28 kwi 2016 · The best published algorithm for solving it at Asiacrypt 2014 improved the classical BKW algorithm by using covering codes, which claimed to marginally compromise the 80-bit security of HB variants, LPN-C and Lapin.
In this work, we introduce Latent Program Network (LPN), a novel approach to inductive program synthesis that leverages continuous latent space representations to enable efficient search and test-time adaptation in the space of latent programs.
