Alexander Schlögl, MSc
Research Assistant

E-mailalexander.schloegl@uibk.ac.at
AddressTechnikerstraße 21A, 6020 Innsbruck, Austria
OfficeICT 2W02
Alexander Schlögl, MSc

Research Interests

  • Machine learning in adversarial environments
  • Compiler-based security
  • Trusted enclaves
  • Side-channel attacks

Positions

since 09/2019 Research Assistant, Department of Computer Science, University of Innsbruck, Austria
10/2016 – 08/2019 Student Assistant, Department of Computer Science, University of Innsbruck, Austria
10/2015 – 01/2016 Tutor for Introduction to Computer Engineering (Einführung in die Technische Informatik), Department of Computer Science, University of Innsbruck, Austria

Education

since 09/2019 Ph.D. studies in Computer Science, University of Innsbruck, Austria
2016 – 2019 M.Sc. studies in Computer Science, University of Innsbruck, Austria
2013 – 2016 B.Sc. studies in Computer Science, University of Innsbruck, Austria

Publications

  • Schlögl, A., Kupek, T., and Böhme, R. iNNformant: Boundary Samples as Telltale Watermarks. In Proceedings of the 9th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSEC). 2021. [PDF] [Publisher] [Video]
  • Schlögl, A., Kupek, T., and Böhme, R. Forensicability of Deep Neural Network Inference Pipelines. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). (virtual) Toronto, Canada, 2021. [Publisher] [Video]
  • Schlögl, A. and Böhme, R. eNNclave: Offline Inference with Model Confidentiality. In 13th ACM Workshop on Artificial Intelligence and Security (AISec’20). 2020. [PDF] [Video]
  • Schöttle, P., Schlögl, A., Pasquini, C., and Böhme, R. Detecting Adversarial Examples – A Lesson from Multimedia Security. In Proceedings of the 26th European Signal Processing Conference (EUSIPCO). EURASIP, Rome, Italy, 2018. [PDF]

Awards

  • Master’s thesis received the “Nachwuchspreis für wissenschaftliche Forschung für Studierende der Universität Innsbruck und der Medizinischen Universität Innsbruck 2019”