Towards Resilient Artificial Intelligence: Survey and Research Issues

• URL: http://arxiv.org/abs/2109.08904v1
• Date: Sat, 18 Sep 2021 11:15:51 GMT
• Title: Towards Resilient Artificial Intelligence: Survey and Research Issues
• Authors: Oliver Eigner, Sebastian Eresheim, Peter Kieseberg, Lukas Daniel Klausner, Martin Pirker, Torsten Priebe, Simon Tjoa, Fiammetta Marulli, Francesco Mercaldo
• Abstract summary: 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.
• Score: 3.611654352079672
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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