4th IEEE Conference on Secure and Trustworthy Machine Learning

SaTML Logo

Technical University of Munich, Germany
March 23–25, 2026

Sponsored by the IEEE Computer Society Technical Committee of Security and Privacy

News & Updates

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.

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. More details on the venue will follow.