Online Seminar #5: Quantum-inspired solutions for privacy leaks in machine learning
Alejandro Pozas-Kerstjens (ICMAT) Vast amounts of data are routinely processed in machine learning pipelines, every time coveringmore aspects of our interactions with the world. However, the quest for performance is leavingother important aspects, such as privacy, on the side. For example, when the models processingthe data are made public, is the safety of the data…
