Edwin G. Dauber Jr., PhD
- Assistant Professor
- PhD, Computer Science (2020)
Drexel University (PA)
- BS, Computer Science (2013)
Widener University (PA)
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.
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.
- 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.