The increasing adoption of technologies based on Artificial Intelligence (AI) in critical infrastructure and decision-making processes has made AI-driven components a foundational part of complex software, cyber-physical, and socio-technical systems (e.g., malware detection, fraud detection, autonomous driving, or biometric systems). In these settings, AI outputs directly shape automated and human-in-the-loop decisions, making failures consequential beyond technical performance and raising fundamental concerns regarding the security, robustness, transparency, and trustworthiness of AI systems. The growing integration of AI into our daily lives exposes organizations and individuals to an increasing number of vulnerabilities. Vulnerabilities such as adversarial attacks, bias, and lack of explainability can undermine both safety and public trust.
The workshop addresses the challenges of securing AI systems in both adversarial settings and security-critical applications. It focuses on the security challenges in the design of AI systems, including their vulnerabilities in adversarial domains and defense strategies, as well as the integration of explainable AI (XAI) to improve transparency, accountability, and robustness. The workshop brings together researchers and practitioners from AI, cybersecurity, and security domains to advance trustworthy, secure, and accountable AI systems by discussing critical challenges, future works, and recent advancements in developing secure and trustworthy AI-based systems
SATAI welcomes both research papers reporting results from mature work and recently published work, as well as more speculative papers describing new ideas or preliminary exploratory work. Papers reporting industry experiences and case studies will also be encouraged. Submissions are accepted in two formats:
Topics of interest include but are not limited to:
All submissions should be made in PDF using the Microsoft CMT and must adhere to the Springer LNCS style. Templates are available here. Tentatively, all regular workshop papers will be published in an LNCS proceedings volume (to be defined). At a minimum, a proceedings volume will be edited and published online.
Submissions must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or conference with proceedings. Also, authors should refer to their previous work in the third person. Accepted papers will be published in IEEE Xplore. One author of each accepted paper is required to attend the workshop and present the paper for it to be included in the proceedings.