Pfeifer, Nico Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;
Ünal, A. B., Akgün, M., & Pfeifer, N. (2019). A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine. In Y., Mu, R. H., Deng, & X., Huang (Eds.), Cryptology and Network Security (pp. 493-511). Berlin: Springer. doi:10.1007/978-3-030-31578-8_27.
