Research papers
Original research contributions on any of the listed topics.
IEEE Conference on Secure and Trustworthy Machine Learning
The IEEE SaTML 2027 conference focuses on the theoretical and practical aspects of vulnerabilities in machine learning, the robustness of learning algorithms and systems, and the development of a trustworthy machine learning community. It invites contributions that advance understanding of attacks, defenses, security, privacy, fairness, and reliability of ML technologies.
Full paper
September 30, 2026
AoE
Conference timeline
Full paperKey deadline
September 30, 2026 · AoE
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Original research contributions on any of the listed topics.
Papers that survey, organize, and synthesize existing knowledge in the field.
Articles presenting a clear stance or viewpoint on emerging issues related to trustworthy machine learning.
Proposals for competitions that address challenges in secure and trustworthy ML.
Proposals to organize workshops on relevant topics within the conference scope.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 6, 2026