M. Sc. Thorsten Eisenhofer

  • Research Assistant - Chair Systems Security
Eisenhofer, Thorsten

Address

Ruhr-Uni­ver­si­ty Bo­chum
Chair for Sys­tems Se­cu­ri­ty
Uni­ver­si­täts­stras­se 150
44780 Bo­chum / Ger­ma­ny

BIOGRAPHY
I’m a computer security researcher and Ph.D. Student at the Chair for Systems Security. My research focuses on Adversarial Machine Learning and in particular on the security properties of learning algorithms in adversarial settings.

THESES AND PROJECTS
If you're interested in Adversarial Machine Learning and looking for a Seminar, Bachelor’s or Master’s Thesis, just drop me an email or stop by at my office.

Room
ID 2/451
Phone:
(+49)(0)234 / 32 - 27817
Email:
thorsten.eisenhofer@rub.de

Vita

  • Since 02/2019: Ph.D. Student, IT-Security
    Chair for Systems Security, Ruhr-University Bochum, Germany
  • 04/2016-01/2019: Master of Science (M.Sc.), IT-Security
    Ruhr-University Bochum, Germany
  • 04/2018-10/2018: Research Intern
    SecLab, University of California in Santa Barbara, USA
  • 11/2016-03/2018: Student Malware Researcher
    VMRay, Bochum, Germany
  • 08/2015-12/2015: Master Studies, Information Security
    NTNU Gjøvik, Norway
  • 10/2012-08/2015: Bachelor of Science (B.Sc.), Computer Science

Projects

In case you are interested in applied IT security ("hacking"), check out our university's Capture the Flag (CTF) team FluxFingers (@FluxFingers), as well as their introductory FluxRookies challenges. If you would like to ask any questions, or just get in touch to learn about upcoming CTFs, join the Rookie discord.

Courses

Publications

2021
Dompteur: Taming Audio Adversarial Examples

Thorsten Eisenhofer, Lea Schönherr, Joel Frank, Lars Speckemeier, Do­ro­thea Kolossa, Thorsten Holz - USENIX Security Symposium, Virtual, August 2021

2020
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems

Lea Schönherr, Thorsten Eisenhofer, Steffen Zeiler, Thorsten Holz, Do­ro­thea Kolossa - Annual Computer Security Applications Conference (ACSAC), Virtual, December 2020

Leveraging Frequency Analysis for Deep Fake Image Recognition

Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer , Do­ro­thea Kolossa, Thorsten Holz - International Conference on Machine Learning (ICML), July 2020