Call for Papers

We invite researchers to submit their original or previously published works on methods and datasets on Privacy, Fairness, Accountability and Transparency in Computer Vision.

Submission site is open here.  

Topics include but are not limited to:

▪ Privacy-Preservation Technologies in Computer Vision.

▪ Privacy threats, security issues and ethical considerations in ambient sensing (including radar and wifi technologies).

▪ Privacy-preserved Learnable Optics.

▪ Differential privacy in computer vision.

▪ Public datasets for Privacy, Fairness, Accountability and Transparency in computer vision.

▪ Privacy-preservation and Fairness in synthetic data generation.

▪ Computer Vision in Privacy-Sensitive Domains.

▪ Privacy-Enhancing Human Biometrics.

▪ Privacy, Fairness, Accountability and Transparency in Medical Imaging.

▪ Privacy, Fairness, Accountability and Transparency in Federated Learning for Computer Vision applications.

▪ Hardware based techniques for privacy preservation in computer vision applications.

▪ Metrics and Benchmarks for analyzing privacy and ethical risks in computer vision.

Submission Guidelines:

Prepare an anonymous paper of no more than 9 pages (excluding references) according to the BMVC 2024 submission guidelines

Make sure to use the corresponding LATEX template.