Edwin G. Dauber Jr., PhD
- Assistant Professor
Affiliated Programs
Education
- PhD, Computer Science (2020)
Drexel University (PA) - BS, Computer Science (2013)
Widener University (PA)
About Me
I earned my bachelor's degree from Widener University in 2013 and proceeded to earn my PhD from Drexel University in 2020. After teaching at Drexel for a year, I am now back at Widener as a professor.
My teaching interests include introductory courses, security and privacy, and artificial intelligence and machine learning. I have also taught courses on software quality, validation, and verification.
Research Interests
My research focuses on application of machine learning to digital privacy and security. My dissertation was on applying stylometry - the study of style - to identifying the authors of collaborative documents and programs. I am interested in continuing research in applications of stylometry, but also in expanding to other applications of machine learning.
Publications
- Dauber, E., Erbacher, R., Shearer, G., Weisman, M., Nelson, F., & Greenstadt, R. (2021). Supervised authorship segmentation of open source code projects. Proceedings on Privacy Enhancing Technologies, 2021(4), 464-479.
- Dauber, E., Caliskan, A., Harang, R., Shearer, G., Weisman, M., Nelson, F., & Greenstadt, R. (2019). Git blame who?: Stylistic authorship attribution of small, incomplete code fragments. Proceedings on Privacy Enhancing Technologies, 2019(3), 389-408.
- Dauber, E., Overdorf, R., & Greenstadt, R. (2017). Stylometric authorship attribution of collaborative documents. International Conference on Cyber Security Cryptography and Machine Learning, 1, 115-135.
- Alsulami, B., Dauber, E., Harang, R., Mancoridis, S., & Greenstadt, R. (2017). Source code authorship attribution using long short-term memory based networks. European Symposium on Research in Computer Security, 2017, 65-82.