4th IEEE Conference on Secure and Trustworthy Machine Learning
Technical University of Munich, Germany
March 23–25, 2026
News & Updates
- SaTML 2026 has successfully concluded. We are now looking for a host for SaTML 2027!
- We offer financial support for participants who cannot cover registration or travel costs.
- The program for SaTML 2026 is now available.
- Apply to volunteer and be considered for complimentary registration!
- The registration page for SaTML 2026 is now open!
- The list of accepted papers for SaTML 2026 is now available. Congratulations to all authors!
- There will be four Competitions at SaTML 2026. We invite you to participate!
- We updated the Call for Papers with a statement about LLM usage in submissions.
- The Submission Site for papers is now finally online and open.
- The Call for Papers and the Call for Competitions are now available.
- The website for SatML 2026 is now online!
Important dates
- Paper submission deadline: Wednesday, September 24, 2025
- Early reject notification: Wednesday, October 29, 2025
- Interactive discussion & revision phase: November 19 - December 3, 2025
- Decision notification: Wednesday, December 10, 2025
- Conference dates: March 23-25, 2026
All deadlines are set to 11:59 PM AoE (Anywhere on Earth), which corresponds to UTC-12 time zone.
Keynotes
We are excited to have the following keynote speakers in the SaTML 2026 program. For more details about each talk, please visit the keynotes page.
Overview
This conference will expand on the theoretical and practical understandings of vulnerabilities inherent to machine learning (ML), explore the robustness of learning algorithms and systems, and aid in developing a unified, coherent scientific community which aims to establish trustworthy machine learning. 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
- Privacy in machine learning
- Forensic analysis of machine learning
- Fairness and interpretability
- Trustworthy data curation
We solicit research papers, systematization of knowledge papers, and position papers (see Call for Papers for details). Furthermore, we invite proposals for our competition track (see Call for Competitions for details).
Venue
IEEE SaTML 2026 will be hosted on the campus of the Technical University of Munich on March 23-25, 2026. See Attending the Conference for details.
