Rachel Greenstadt, PhD

Rachel Greenstadt, PhD

Associate Professor, Drexel University College of Computing and Infomatics
Information and Technology Career Opportunities in the 21st Century Economy
Dr. Rachel Greenstadt is an Associate Professor of Computer Science at Drexel University where she teaches graduate-level courses in computer security, privacy, and machine learning. She founded the Privacy, Security, and Automation Laboratory at Drexel University in 2008. She has attracted a research team of PhD students and undergraduates with interests and expertise in information extraction, machine learning, agents, privacy, trust, and security.  Dr. Greenstadt was among the first to explore the effect of adversarial attacks on stylometric methods, and the first to demonstrate empirically how stylometric methods can fail in adversarial settings while succeeding in non-adversarial settings. As such, she is a leader in the emerging field of Adversarial Stylometry.She was among the first to propose the idea of active authentication in a 2008 position paper at the First Workshop on Artificial Intelligence and Security (AISec). She went on to chair this workshop in 2010 and 2011 and serve as a PI in Phases 1 and 2 of the DARPA Active Authentication program and contributed to a related program at Google.
Dr. Greenstadt’s scholarship has been recognized by the privacy research community. She is an alum of the DARPA Computer Science Study Group and a recipient of the NSF CAREER Award. Her work has received the PET Award for Outstanding Research in Privacy Enhancing Technologies and the Andreas Pfitzmann Best Student Paper Award. She currently serves as co-editor-in-chief of the journal Proceedings on Privacy Enhancing Technologies (PoPETs).  Her research has been featured in the New York Times, the New Republic, Der Spiegel, and other local and international media outlets.