** NEWS **
July 25, 2025: A tentative preliminary program is released! Check out our exciting list of keynote speakers!
This SMC 2025 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 deepfakes, make their widespread adoption dangerous, especially for safety-critical applications and applications dealing with privacy-sensitive information. These two sides need to be considered when developing next-generation AI tools and technologies based on these tools.
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, ethical, and trustworthy way possible. The workshop will be comprised of invited talks, full-paper technical presentations, a round-table discussion, panels, and a networking event.
The Workshop is supported by the IEEE SMC Technical Committee on Brain-Machine Interface Systems and and the INRS-UQO Joint Research Unit on Cybersecurity and Digital Trust, with sponsorship from CIRICS (the Interdisciplinary centre for research and innovation on cybersecurity and society).