Introduction
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.
Sponsor Type:1; 9
Committee
General Chair
Amy Hasan
Pennsylvania State University
Program Committee Chairs
Patrick McDaniel
Pennsylvania State University
Nicolas Papernot
University of Toronto and Vector Institute
Call for paper
Important date
Submission Topics
Areas of Interest include (but are not limited to):
Trustworthy data curation
Novel attacks on ML systems
Methods for defending against attacks on ML systems
Forensic analysis of ML systems
Verifying properties of ML systems
Securely and safely integrating ML into systems
Privacy (e.g., confidentiality, inference privacy, machine unlearning)
Fairness
Accountability
Transparency
Interpretability
All Comments
Important Date
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Conference Date
Feb 08
2023
toFeb 10
2023
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Aug 22 2022
Abstract Submission Deadline
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Sep 01 2022
Draft paper submission deadline
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Nov 15 2022
Draft Paper Acceptance Notification
Sponsored By
Pennsylvania State University
Contact Information
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