Academia

This section covers some the products of my time in academia. As I moved into an industrial role, I naturally do not engage full-time in research activities anymore. Most of my research have been within the field of adversarial machine learning, which I ’to-the-best-of-my-ability’ still try to follow. If you have questions or comments about my publications, send me an email.

Invited Talks

• Machine Learning: The Unspoken Part

  Highlight known limitations of machine learning, and discussing their future

  Venues: Wiley, Copenhagen (April 2019) · Copenhagen Business Academy, Lyngby (April 2019) · AspIT, Aalborg (April 2019) · IUM, Copenhagen (April 2019) · LEGO, Billund (April 2019) · IDA, Aalborg (April 2019) · Zealand, Slagelse (April 2019) · IDA, Copenhagen (April 2019) · IDA, Aarhus (May 2019)

Publications

2020

• Towards Adversarial Phishing Detection CSET 2020

  Thomas Kobber Panum, Kaspar Hageman, René Rydhof Hansen, Jens Myrup Pedersen

  Proceedings of the 13th USENIX Workshop on Cyber Security Experimentation and Test

• CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods ICML 2020

  Wei Zhang, Thomas Kobber Panum, Somesh Jha, Prasad Chalasani, David Page

  Proceedings of the 37th International Conference on Machine Learning — Acceptance Rate: 21.8%

2019

• Kraaler: A User Perspective Web Crawler TMA 2019

  Thomas Kobber Panum, René Rydhof Hansen, Jens Myrup Pedersen

  Proceedings of the 3rd Network Traffic Measurement and Analysis Conference

• Haaukins: A Highly Accessible and Automated Virtualization Platform for Security Education ICALT 2019

  Thomas Kobber Panum, Kaspar Hageman, Jens Myrup Pedersen, René Rydhof Hansen

  Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies