Computer Security and Privacy

Dr. Lindrit Kqiku

Biography

I am a postdoctoral researcher in the CSP group. I obtained my PhD (Dr. rer. nat., 2024) and my M.Sc. (2019) in Computer Science from the University of Göttingen, Germany. Prior to that, I completed my B.Sc. (2016) in Computer Engineering at the University of Prishtina, Kosovo.


Research interests

  • Developing intelligent decision-making methods that leverage deep learning to support user choices
  • Investigating privacy risks posed by AI models and developing methods to assess and mitigate them
  • Designing transparent privacy tools to help individuals make informed decisions on their IoT device choices


Publications

  • F. Dehling, S. Koch, L. Lo Iacono, L. Kqiku, D. Reinhardt, and H. Zwingelberg. Privatsheits-relevante Eigenschaften von IoT-Produkten für Verbraucher:innen. Jahreskonferenz der Plattform Privatheit: Datenschutz und Digitalpolitik in krisenhaften Zeiten, 2025. Accepted for presentation.
  • L. Kqiku. Privacy-Decision Assisting Techniques: Leveraging Deep Learning Approaches for Predicting Social Ties, Sharing Audience, and Content Sensitivity in Online Social Media Networks. Doctoral dissertation, University of Göttingen, 2024. [LINK]
  • L. Kqiku and D. Reinhardt. SensitivAlert: Image Sensitivity Prediction in Online Social Networks using Transformer-based Deep Learning Models. Proc. of the 18th International AAAI Conference on Web and Social Media (ICWSM), 2024. Acceptance rate 20-30%. [LINK]
  • L. Kqiku and D. Reinhardt. Lengthy Early Morning Instant Messages Reveal More Than You Think: Analysing Interpersonal Relationships using Mobile Communication Metadata. Pervasive and Mobile Computing (PMC), 2023. [PDF]
  • A. Tillmann, L. Kqiku, D. Reinhardt, C. Weisser, B. Säfken and T. Kneib. Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models. Proceedings of the 8th IEEE International Conference on Privacy Computing (PriComp), 2023. Acceptance rate for full papers: 23%. [PDF]
  • L. Kqiku, J. Dieterle and D. Reinhardt. Exploration of a Mobile Design for a Privacy Assistant to Help Users in Sharing Content in Online Social Networks. Proceedings of the 8. Usable Security und Privacy Workshop (MuC workshop), 2022. [LINK]
  • L. Kqiku, M. Kühn and D. Reinhardt. From Sentiment to Sensitivity: The Role of Emotions on Privacy Exposure in Twitter. Proceedings of the 2nd ACM Workshop on Open Challenges in Online Social Networks (OASIS, HT workshop), 2022. [PDF]