Towards Resilient Artificial Intelligence: Survey and Research Issues
Oliver Eigner
Sebastian Eresheim
Peter Kieseberg
Lukas Daniel Klausner
Martin Pirker
Torsten Priebe
S. Tjoa
Fiammetta Marulli
F. Mercaldo

Abstract
Artificial intelligence (AI) systems are becoming critical components of today's IT landscapes. Their resilience against attacks and other environmental influences needs to be ensured just like for other IT assets. Considering the particular nature of AI, and machine learning (ML) in particular, this paper provides an overview of the emerging field of resilient AI and presents research issues the authors identify as potential future work.
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