CFP: Secure and Trustworthy Machine Learning CFP: Secure and Trustworthy Machine Learning ``` IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) May 8-10, 2027 @ Reykjavik, Iceland https://satml.org/ CALL FOR PAPERS IEEE SaTML expands upon the theoretical and practical understandings of vulnerabilities inherent to machine learning (ML), explores the robustness of learning algorithms and systems, and aids in developing a unified, coherent scientific community aiming to establish trustworthy machine learning. The 5th SaTML will be held May 8-10, 2027 in Reykjavik, Iceland. Topics of interest include (but are not limited to): * Novel attacks on machine learning * Novel defenses for machine learning * Secure and safe machine learning in practice * Verification of algorithms and systems * Machine learning system security * Privacy in machine learning * Forensic analysis of machine learning * Fairness and interpretability * Trustworthy data curation SaTML 2027 welcomes three paper types: - Research papers: novel contributions presenting new results - Systematization of Knowledge (SoK) papers: evaluating, systematizing, and contextualizing existing knowledge - Position papers: well-argued viewpoints on topics in trustworthy and secure ML Complete submission requirements (format, page limits) will be posted by mid-August 2026. In addition to papers, SaTML 2027 is accepting proposals for Competitions and Workshops (first time at SaTML) with deadline August 28, 2026. Proceedings are published by IEEE. Important Dates Paper submission deadline: September 29, 2026 (11:59 PM AoE) Early reject notification: November 4, 2026 Interactive discussion and revision phase: November 25 - December 9, 2026 Decision notification: December 16, 2026 Revisions due: January 21, 2027 Conference: May 8-10, 2027 All deadlines are 11:59 PM AoE (UTC-12). Competitions and Workshops deadline: August 28, 2026 In case of questions, please contact: General Chair Giovanni Apruzzese, Reykjavik University (contact@satml.org) Program Chairs Fabio Pierazzi, University College London Florian Tramer, ETH Zurich Workshop Chairs Qingying Hao, ShanghaiTech University Thorsten Eisenhofer, CISPA Helmholtz Center for Information Security For more information, please see https://satml.org/call-for-papers/. ```