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Important dates

  • Paper submission deadline: Friday, September 27, 2024 (extended)
  • Early reject notification: Thursday, October 31, 2024
  • Interactive discussion & revision phase: November 21 – December 5, 2024
  • Decision notification: Thursday, December 12, 2024
  • Conference dates: April 9–11, 2025

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 2025 program. For more details about each talk, please visit the keynotes page.


Michael Veale
University College London

Kamalika Chaudhuri
University of California San Diego

Matt Turek
Defense Advanced Research Agency

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 2025 will be hosted on the campus of the University of Copenhagen on April 9-11, 2025. The venue for the conference will be the Lundbeckfond Auditorium.