Towards Resilient Artificial Intelligence: Survey and Research Issues
Machine Learning
2021-09-21 v1 Artificial Intelligence
Cryptography and Security
Computers and Society
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.
Cite
@article{arxiv.2109.08904,
title = {Towards Resilient Artificial Intelligence: Survey and Research Issues},
author = {Oliver Eigner and Sebastian Eresheim and Peter Kieseberg and Lukas Daniel Klausner and Martin Pirker and Torsten Priebe and Simon Tjoa and Fiammetta Marulli and Francesco Mercaldo},
journal= {arXiv preprint arXiv:2109.08904},
year = {2021}
}
Comments
7 pages, 1 figure