I. B. Mohammed

Privacy-Preserving Face Detection: An Integrated Approach Using Multi-Task Cascaded Convolutional Networks and Randomized Convolutional Layers

Results show that the privacy preserving method introduced in this paper can effectively remove identity-related visual signals while at the same time keeping the level of face detection performance high, a feature which would make it most of all appealing for privacy critical computer vision applications.