Foto von Matthias Probst

M.Sc. Matthias Probst

Raum: N1008ZG

Research Interests

  • Side Channel Analysis
  • Neural Networks
  • Neuromorphic Hardware (Spiking Neural Networks)

Research positions for students

If one of my research topics catches your interest, feel free to contact me for possible Bachelor Thesis, Master Thesis or research internship opportunities.

Masterarbeiten

SCA of Neural Network HW-Implementations

Forschungspraxis (Research Internship)

SCA of Neural Network HW-Implementations

Studentische Hilfskräfte

Measurement Setup Validation Framework

Teaching

Embedded Systems and Security in SoSe 20, WiSe 20/21

Publications

2022

  • Brosch, Manuel and Probst, Matthias and Sigl, Georg: Counteract Side-Channel Analysis of Neural Networks by Shuffling. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2022Antwerp, Belgium mehr…

2021

  • Gruber, Michael and Probst, Matthias and Karl, Patrick and Schamberger, Thomas and Tebelmann, Lars and Tempelmeier, Michael and Sigl, Georg: DOMREP – An Orthogonal Countermeasure for Arbitrary Order Side-Channel and Fault Attack Protection. IEEE Transactions on Information Forensics and Security (16), 2021, 4321-4335 mehr…

2020

  • Gruber, M.; Probst, M.; Tempelmeier, M.: Statistical Ineffective Fault Analysis of GIMLI. 2020 IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2020IEEE International Symposium on Hardware Oriented Security and Trust (HOST) mehr…

2019

  • Gruber, M. and Probst, M. and Tempelmeier, M.: Persistent Fault Analysis of OCB, DEOXYS and COLM. 2019 Workshop on Fault Diagnosis and Tolerance in Cryptography (FDTC), 2019Atlanta, USA mehr…