Matthias Gazzari is a doctoral researcher at the Secure Mobile Networking Lab. His research focuses on the privacy and security impacts of sensors in everyday life, particularly on keylogging side-channel attacks. He studies the effectiveness of such inference attacks with different sensor modalities and combinations under varying conditions. The goal of his research is to facilitate awareness and derive counter-measures.

Research Interests

  • Privacy and security impact of sensor usage and presence in everyday life
  • Human- and device-targeted (keylogging) side-channel attacks
  • Sensor data obfuscation to counter inference attacks
  • Facilitating privacy awareness in a sensor-rich environment


  • Deep learning and generative adversarial networks
  • End-to-end multivariate time series classification
  • Empirical research focused on human subject data studies