  The workshop will focus on the application of AI to problems in cyber
security. Cyber systems generate large volumes of data, utilizing this
effectively is beyond human capabilities. Additionally, adversaries continue to
develop new attacks. Hence, AI methods are required to understand and protect
the cyber domain. These challenges are widely studied in enterprise networks,
but there are many gaps in research and practice as well as novel problems in
other domains.
  In general, AI techniques are still not widely adopted in the real world.
Reasons include: (1) a lack of certification of AI for security, (2) a lack of
formal study of the implications of practical constraints (e.g., power, memory,
storage) for AI systems in the cyber domain, (3) known vulnerabilities such as
evasion, poisoning attacks, (4) lack of meaningful explanations for security
analysts, and (5) lack of analyst trust in AI solutions. There is a need for
the research community to develop novel solutions for these practical issues.
