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  4. AI Robustness Against Attacks in City-Scale Autonomous Drone Deployments
 
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November 15, 2024
Journal Article
Title

AI Robustness Against Attacks in City-Scale Autonomous Drone Deployments

Abstract
We 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.
Author(s)
Ottun, Abdul-Rasheed
University of Tartu
Akintola, Adeyinka  
University of Tartu
Liyanage, Mohan
Boerger, Michell  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Hui, Pan
Tarkoma, Sasu  
University of Helsinki
Tcholtchev, Nikolay Vassilev
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Nurmi, Petteri  
Lancaster University, University of Helsinki
Flores, Huber
Journal
Computer. Innovative technology for computer professionals  
DOI
10.1109/MC.2024.3461841
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • Artificial intelligence

  • Drones

  • Autonomous robots

  • Explainable AI

  • Robustness

  • Risk management

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