Call for Papers

We invite contributions that relate broadly to the theme of the workshop. Suitable topics include but are not limited to:

• Privacy-preserving machine learning

• Fair machine learning

• New analysis of differential privacy 

• Information-theoretic perspective to fairness interventions

• Differential privacy mechanism design 

• Distributed/federated machine learning

• Adaptive data analysis

Accepted papers will be presented as posters during the poster session, and will not be included in any formal proceedings. As such, we welcome submissions that have been presented or published elsewhere. The titles of accepted papers will be featured on the workshop website, accompanied by a link to the full version that authors will publicly share by the camera-ready deadline.  Some papers will also be selected for spotlight presentations. 

Important Dates: 

Paper Submission Deadline:         March 3 AOE, 2024  March 15, 2024

Decision Notification:         April 15, 2024

Camera Ready Paper Deadline: May 6, 2024

Workshop Date: July 7, 2024

Submission Instructions:

Authors should upload a short paper of up to four pages, not counting references and supplementary material, to: 

https://openreview.net/group?id=IEEE.org/ISIT/2024/Workshop/IT-TML

Please submit a single PDF in ISIT format that includes the main paper and supplementary material. Submissions are single-blind and should not be anonymized. All submissions will be reviewed and will be evaluated based on their technical content and relevance to the workshop. Accepted papers will be selected for either a poster session or a spotlight presentation.