Hristo Boyadzhiev

Secrets Everywhere: Auditing Memorization in Mobility Prediction Models

A framework to quantify mobility memorization at different levels of granularity: individual locations, anchor pairs, and subtrajectory segments is introduced and user-grounded reference sets are developed to assess how likely a model is to prefer training data over realistic alternatives.