活动简介

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

组委会

General Chair

Amy Hasan
Pennsylvania State University

Program Committee Chairs

Patrick McDaniel
Pennsylvania State University

Nicolas Papernot
University of Toronto and Vector Institute


 

征稿信息

重要日期

2022-08-22
摘要截稿日期
2022-09-01
初稿截稿日期
2022-11-15
初稿录用日期

征稿范围

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

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重要日期
  • 会议日期

    02月08日

    2023

    02月10日

    2023

  • 08月22日 2022

    摘要截稿日期

  • 09月01日 2022

    初稿截稿日期

  • 11月15日 2022

    初稿录用通知日期

  • 02月10日 2023

    注册截止日期

主办单位
IEEE Computer Society
Pennsylvania State University
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