Submissions close May 4
We welcome submissions pertaining to any aspect of synthetic data-driven model auditing for computer vision, including but not limited to:
Algorithms for generating / simulating data for model auditing
Robust model auditing strategies utilizing controllable synthesis
New synthetic benchmarking data for robust stress-testing of models
Analysis of public AI models using synthetic benchmarks
Submission Instructions
– We will have a single track with two types of non-archival submissions
– Extended abstracts (<=4 pages, including references)
– Full submission (<=8 pages, excluding references)
– Formatting: using CVPR 2025 paper formatting (download here)
– Appendix included in the same PDF as the main body. No Appendix page limit
– When ready, submit to OpenReview (note our workshop is non-archival)
Submission Link: OpenReview
Important Dates
March 15: Submission portal opens
May 4: Paper submission deadline
May 4-15: Paper review period
May 18: Decision notifications
May 31: Camera-ready deadline