Ensuring data privacy is a hard problem. It cannot be achieved with a few hacks or as an afterthought. We believe that data privacy needs to be approached in a principle and scientific manner by using mathematics to provide strong guarantees – and this is the philosophy that we follow as computer scientists who are experts in the topic. We work with our privacy-enhancing technology DPella, a tool that perturbs data analyses’ results with carefully calibrated randomized noise to protect the privacy of individuals with mathematical guarantees while providing information about the accuracy of the results.