TY - JOUR AU - Bonte, Charlotte AU - Vercauteren, Frederik PY - 2018 DA - 2018/10/11 TI - Privacy-preserving logistic regression training JO - BMC Medical Genomics SP - 86 VL - 11 IS - 4 AB - Logistic regression is a popular technique used in machine learning to construct classification models. Since the construction of such models is based on computing with large datasets, it is an appealing idea to outsource this computation to a cloud service. The privacy-sensitive nature of the input data requires appropriate privacy preserving measures before outsourcing it. Homomorphic encryption enables one to compute on encrypted data directly, without decryption and can be used to mitigate the privacy concerns raised by using a cloud service. SN - 1755-8794 UR - https://doi.org/10.1186/s12920-018-0398-y DO - 10.1186/s12920-018-0398-y ID - Bonte2018 ER -