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This conference will expand on the theoretical and practical understandings of vulnerabilities inherent to ML systems, explore the robustness of ML algorithms and systems, and aid in developing a unified, coherent scientific community which aims to build trustworthy ML systems.
  • Call for Competitions (closed), due by Friday, July 29, 2022 (11:59 PM AoE, UTC-12)
  • Call for Papers (closed):
    • Abstracts due by Monday, August 22, 2022 (11:59 PM AoE, UTC-12)
    • Full Paper​ ​submissions due by Thursday, September 1, 2022 (11:59 PM AoE, UTC-12)
  • Prior to the conference in February 2023, you are invited to participate in competitions that have been accepted to SaTML.
  • Registration and information to attend the conference in February 2023 are posted here.
  • Accepted papers are now posted here.
  • We are very excited to share that Timnit Gebru and Zico Kolter will be the keynote speakers as well as Gautam Kamath and Jacob Steinhardt the tutorial speakers for this first edition of SaTML! Find more details on the schedule once posted.
  • The schedule of the conference can be found here.

Keynote Speakers

Timnit Gebru
Distributed AI Research Institute
Zico Kolter
Carnegie Mellon University

Tutorial Speakers

Gautam Kamath
University of Waterloo
Jacob Steinhardt
UC Berkeley

Our Sponsors
Inaugural Industry Sponsor