Passionate about using data for good, machine learning or computer security? This competition is for you. Brought to you by the United Nations Privacy Enhancing Technologies (PETs) Lab. To learn more, please go to the website:
Webinar at Abdul Latif Jameel Poverty Action Lab (J-PAL): Designing Access with Differential Privacy, by Alexandra Wood, Micah Altman, Kobbi Nissim and Salil Vadhan. This webinar is part of the J-PAL’s IDEA Handbook Webinar Series and to accompany a chapter in the new J-PAL IDEA Handbook Using Administrative Data for Research and Evidence-Based Policy, supported by the Alfred P. Sloan Foundation.
Talk at the Machine Learning in Science & Engineering (MLSE) 2020: Computing Systems: OpenDP, an Open-Source Suite of Tools for Deploying Differential Privacy, by Mercè Crosas
Keynote at the Theory and Practice of Differential Privacy (TPDP) 2020: OpenDP: A Community Effort to Build Trustworthy Differential Privacy Software, by Salil Vadhan