Towards Resilient Artificial Intelligence: Survey and Research Issues
Oliver Eigner, Sebastian Eresheim, Peter Kieseberg, Lukas Daniel, Klausner, Martin Pirker, Torsten Priebe, Simon Tjoa, Fiammetta Marulli,, Francesco Mercaldo
TL;DR
This paper surveys the emerging field of resilient AI, highlighting the importance of ensuring AI systems can withstand attacks and environmental influences, and identifies key research challenges for future work.
Contribution
It provides an overview of resilient AI and outlines research issues specific to AI's unique vulnerabilities and resilience needs.
Findings
Highlights the importance of AI resilience in IT landscapes
Identifies key research challenges for resilient AI
Provides a comprehensive survey of the field
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.