Abstract:This talk will discuss the Exposing.ai research project, a multi-year investigation into the origins and endpoints of biometric image training datasets created from “media in the wild”.
This talk will discuss the Exposing.ai research project, a multi-year investigation into the origins and endpoints of biometric image training datasets created from “media in the wild”. Over the past years several prominent datasets, including MS-Celeb-1M, DukeMTMC, VGGFace2, and MegaFace have been retracted, heavily criticized, or mysteriously deprecated without explanation. Driving these takedowns is the research project exposing.ai that has uncovered how and why academic biometric datasets are being exploited by the global biometric surveillance industry. As a recent [Nature article](https://www.nature.com/articles/d41586-020-03187-3) has explained, many researchers are reconsidering their use of these datasets and whether it’s appropriate for academia to engage in this research. This talk will discuss several of the most egregious dataset missteps and provide a survey of recent trends and papers about improving dataset authorship.
What You’ll Learn:
How to be a better dataset author
Adam Harvey (US/DE) is a researcher and artist based in Berlin focused on computer vision, privacy, and surveillance technologies. He received his masters degree from the Interactive Telecommunications Program at New York University (2010) and a BA in Integrative Arts from Pennsylvania State University (2004). His previous work includes CV Dazzle (camouflage from face recognition), the Anti-Drone Burqa (camouflage from thermal cameras), SkyLift (geolocation spoofing device), and Exposing.ai (interrogating face recognition datasets). His art and research has been featured widely in media publications including the Economist, New York Times, Financial Times, Süddeutsche Zeitung, Der Spiegel, Wall Street Journal, and the Washington Post. Harvey is the founder of VFRAME.io, a software project that innovates computer vision technology for human rights researchers and investigative journalist, which received an award of distinction from Ars Electronica and nomination for the Beazley Design of the Year award in 2019.
(Wednesday) 10:05 AM - 10:50 AM