5th IEEE Conference on Secure and Trustworthy Machine Learning

SaTML Logo

Reykjavik, Iceland
Early May, 2027

News & Updates

  • The website for SaTML 2027 is now online!

Important dates

  • Paper submission deadline: Tue, Sep 29, 2026
  • Early reject notification: Wed, Nov 4, 2026
  • Interactive discussion & revision phase: Wed, Nov 25, 2026 - Wed, Dec 9, 2026
  • Decision notification: Wed, Dec 16, 2026
  • Conference dates: Early May, 2027

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) and workshops (see Call for Workshops for details).