Threat modelling geospatial machine learning systems - F-Secure Blog

Machine learning models are set to play an increasing role in aiding decision-making processes in both governmental and commercial industries in the years to come. One noteworthy area where this is likely to happen is in the geospatial domain, where information obtained from GPS devices and satellite and aerial imagery is used to make both strategic and business decisions. It is thus important to understand how models in this domain stand up to adversarial attack and how trustworthy their outputs are. In April 2021, F-Secure conducted a threat analysis study of machine learning models in the geospatial domain. We investigated several possible attacks and attack goals and proposed mitigations against them.