IEEE Conference on Secure and Trustworthy Machine Learning

Copenhagen from above

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

If you are interested in this event, please visit the IEEE event page on their website.