BELLIZIA, D.; HOFFMANN, C.; KAMEL, D.; LIU, H.; MÉAUX, P.; STANDAERT, F.-X.; YU, Y. Learning Parity with Physical Noise: Imperfections, Reductions and FPGA Prototype. IACR Transactions on Cryptographic Hardware and Embedded Systems, [S. l.], v. 2021, n. 3, p. 390–417, 2021. DOI: 10.46586/tches.v2021.i3.390-417. Disponível em: https://tches.iacr.org/index.php/TCHES/article/view/8979. Acesso em: 6 jul. 2022.