Towards Resilient Artificial Intelligence: Survey and Research Issues
It highlights a critical problem for AI practitioners and researchers by framing resilience as essential for secure and reliable AI deployment, but it is incremental as a survey and identification of issues.
The paper surveys the emerging field of resilient AI, addressing the need to ensure AI systems' resilience against attacks and environmental influences, and identifies key research issues for future work.
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.