Ottun, Abdul-RasheedAbdul-RasheedOttunAkintola, AdeyinkaAdeyinkaAkintolaLiyanage, MohanMohanLiyanageBoerger, MichellMichellBoergerHui, PanPanHuiTarkoma, SasuSasuTarkomaTcholtchev, Nikolay VassilevNikolay VassilevTcholtchevNurmi, PetteriPetteriNurmiFlores, HuberHuberFlores2024-11-272024-11-272024-11-15https://publica.fraunhofer.de/handle/publica/47936210.1109/MC.2024.3461841We analyze the impact of poisoning attacks on autonomous drones and demonstrate how explainable artificial intelligence techniques can be employed to detect them. We then delve into the risks, opportunities, and research challenges, ultimately paving the way for city-scale deployments of autonomous drones.enArtificial intelligenceDronesAutonomous robotsExplainable AIRobustnessRisk managementjournal article