The workshop focuses on the transformative potential of AI/ML technologies in addressing key challenges in security and privacy across diverse domains. In an era of increas- ing digitalization and interconnectedness, organizations face evolving threats, from sophisticated cyberattacks to complex data privacy concerns. Traditional methods often struggle to adapt to the dynamic nature of these challenges, particularly in scenarios requiring real-time analysis, anomaly detection, and large-scale data management. AI/ML presents a paradigm shift by enabling intelligent, scalable, and proactive approaches to security and privacy. For instance, machine learning models can detect patterns in network traffic indicative of cyberattacks, while AI-driven solutions can enable privacy-preserving data processing through federated learning or differential privacy techniques. By focusing on how AI/ML can be harnessed to safeguard sensitive data and systems across various domains, this workshop aims to advance the state of the art in security and privacy.

Papers should present topics that are within the scope of the workshop. Papers must be written in English, be prepared for double-blind review using the ECAI LaTeX template^{(will be provided soon)}, be in PDF format, and contain 6 pages maximum (including references). Submissions must be made via EasyChair.

We expect all submissions adhere to the European Code of Conduct for Research Integrity, the Guidelines on the Responsible Use of Generative AI in Research, and ECAI's policies.

Submission link: here