A workshop paper titled “Privacy-Preserving Annotation of Face Images through Attribute-Preserving Face Synthesis” was accepted to the CV-COPS workshop at the 2019 Conference on Computer Vision and Pattern Recognition.

This paper was based on my capstone project conducted at WPI. The motivation of my work was to explore methods to crowdsource image labels (e.g., labeling a face as “smiling” or “frowning”) while preserving the privacy of the image subject. My work compared two methods - converting images into 3-D renders, and generative adversarial networks - to compare crowdsource image labeling performance.

If you are interested in more details, the paper can be accessed here.