The lifecycle of cyberattacks on machine learning system vulnerabilities

The article discusses the problems of ensuring the necessary level of information security of artificial intelligence systems which is becoming one of the key factors in their widespread use. Based on the analysis of data on committed cyberattacks on well-known machine learning systems (MLS), a complete set of stages of the life cycle of computer attacks on MLS was formed, target MLS vulnerabilities for each stage of the life cycle were determined, methods of attacks on MLS vulnerabilities were systematized, and approaches to ensuring information security of the system were outlined.