Advances in machine learning over the past few years have transformed a wide range of domain. As ML becomes deeply embedded in modern software systems, there is growing recognition that ML introduces a new class of vulnerabilities that challenge traditional security and privacy models.

Our goal is to foster meaningful discussion, collaboration, and the dissemination of research and practical insights at the intersection of machine learning, security, and privacy.