Like so many events impacted the COVID-19 pandemic, the annual conference on Computer Vision and Pattern Recognition (CVPR 2020), has gone virtual. It’s an interesting time for all of us as we find new ways of working and opportunities to apply our research to help our communities.
IBM researchers have partnered with scientists from MIT, Northeastern University, Boston University and University of Minnesota to publish two papers on novel attacks and defenses for graph neural networks and on a new robust training algorithm called hierarchical random switching at IJCAI 2019.
IBM Research Releases ‘Diversity in Faces’ Dataset to Advance Study of Fairness in Facial Recognition Systems
Originally published January 29, 2019; updated February 15, 2019, to reflect important contributions from Joy Buolamwini and Timnit Gebru in Gender Shades (2018) cited in the Diversity in Faces arXiv paper.