This SMC 2023 workshop aims to bring together experts from academia, government labs, and industry to discuss the advantages and challenges of using AI systems for cybersecurity and security in general. On one side of the equation, machine learning (in particular deep learning) has been shown to achieve state-of-the-art results across numerous applications, particularly those related to anomaly/intrusion detection, biometrics, and computer vision, to name a few. On the other side, however, known vulnerabilities, such as data poisoning, adversarial attacks, hallucinations, and deep fakes, make their widespread adoption dangerous, especially for safety-critical applications and those dealing with privacy-sensitive information. These two sides need to be considered when developing models of trust for AI agents. 

In this workshop, we will bring researchers working on both sides of the problem to the same room to brainstorm ideas on how to move the field forward in the most efficient way possible. The workshop will be comprised of posters, full-paper technical presentations, round-table discussion and networking events.

The Workshop is supported by the IEEE SMC Technical Committee on Homeland Security and the IEEE SMC Technical Committee on Brain-Machine Interface Systems.