Jakub Klemsa

Position

PhD student

Research Interests

Homomorphic Cryptography

E-mail

jakub.klemsa@fel.cvut.cz

Address

Biography

Jakub Klemsa graduated in Mathematical Informatics programme at CTU in Prague with main interest in cryptography. In his diploma thesis, he proposed a novel extension to an attack against white-box implementations of ciphers. Thanks to these advances, he won an internship at Riscure, which is a world- class security lab. Currently, he is a third-year PhD student at CTU in Prague and his main focus is on theoretical guarantees as well as practical aspects of homomorphic cryptography.

Publications

2021

Klemsa J. (2021, July). Fast and Error-Free Negacyclic Integer Convolution Using Extended Fourier Transform. In 2021 Cyber Security Cryptography and Machine Learning (CSCML). (pp. 282-300). Springer, Cham. [doi] [pdf]
Klemsa, J. (2021). TFHE Parameter Setup for Effective and Error-Free Neural Network Prediction on Encrypted Data. In Intelligent Computing (pp. 702-721). Springer, Cham. [doi] [pdf]

2020

Klemsa, J., & Novotný, M. (2020, July). Exploiting Linearity in White-Box AES with Differential Computation Analysis. In Science and Information Conference (pp. 404-419). Springer, Cham. [doi] [pdf]
Klemsa, J., & Novotný, M. (2020, June). WTFHE: neural-netWork-ready Torus Fully Homomorphic Encryption. In 2020 9th Mediterranean Conference on Embedded Computing (MECO) (pp. 1-5). IEEE. [doi] [pdf]
Klemsa, J., & Trummová, I. (2020, February). Security Notions for the VeraGreg Framework and Their Reductions. In 2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP) (pp. 8-20). IEEE. [doi] [pdf]

2019

Říha, J., Klemsa, J., & Novotný, M. (2019, June). Multiprecision ANSI C Library for Implementation of Cryptographic Algorithms on Microcontrollers. In 2019 8th Mediterranean Conference on Embedded Computing (MECO) (pp. 1-4). IEEE. [doi] [pdf]

2018

Klemsa, J., Kencl, L., & Vaněk, T. (2018, August). VeraGreg: A Framework for Verifiable Privacy-Preserving Data Aggregation. In 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) (pp. 1820-1825). IEEE. [doi] [pdf]