The present document describes the problem of securing AI-based systems and solutions, with a focus on machine learning, and the challenges relating to confidentiality, integrity and availability at each stage of the machine learning lifecycle. It also describes some of the broader challenges of AI systems including bias, ethics and explainability. A number of different attack vectors are described, as well as several real-world use cases and attacks.
Status: Published
Publication Date: 2020-12-01
Category: Artificial Intelligence
Working Group:
Primary Source: https://www.etsi.org/deliver/etsi_gr/SAI/001_099/004/01.01.01_60/gr_SAI004v010101p.pdf
Source: https://www.standict.eu/standards-repository/securing-artificial-intelligence-saiproblem-statement
