| Students and taxes: a privacy-preserving study using secure computation D Bogdanov, L Kamm, B Kubo, R Rebane, V Sokk, R Talviste Proceedings on Privacy Enhancing Technologies, 2016 | 125 | 2016 |
| Rmind: a tool for cryptographically secure statistical analysis D Bogdanov, L Kamm, S Laur, V Sokk IEEE Transactions on Dependable and Secure Computing 15 (3), 481-495, 2016 | 101 | 2016 |
| Implementation and evaluation of an algorithm for cryptographically private principal component analysis on genomic data D Bogdanov, L Kamm, S Laur, V Sokk IEEE/ACM transactions on computational biology and bioinformatics 15 (5 …, 2018 | 44 | 2018 |
| Implementing privacy-preserving genotype analysis with consideration for population stratification A Ostrak, J Randmets, V Sokk, S Laur, L Kamm Cryptography 5 (3), 21, 2021 | 12 | 2021 |
| ZK-SecreC: a Domain-Specific Language for Zero-Knowledge Proofs D Bogdanov, J Jääger, P Laud, H Nestra, M Pettai, J Randmets, ... 2024 IEEE 37th Computer Security Foundations Symposium (CSF), 372-387, 2024 | 4 | 2024 |
| An improved type system for a privacy-aware programming language and its practical applications V Sokk Master’s thesis, University of Tartu, 2016 | 2 | 2016 |
| Täiustatud tüübisüsteem privaatsusteadlikule programmeerimiskeelele ja selle praktilised rakendused V Sokk | | 2016 |
| Implementation and Evaluation of an Algorithm for Cryptographically Private Principal Component Analysis on Genomic Data–Short Paper D Bogdanov, L Kamm, S Laur, V Sokk | | |
