portrait photo
  • Lucas Lange
  • lange [at] informatik [dot] uni-leipzig [dot] de
  • +49 341 97 32316

  • Room P-416, Paulinum, Augustusplatz 10, 04109, Leipzig

About

  • Since 03/2022 - Researcher / PhD Student at Leipzig University
  • 2022 - M.Sc. Computer Science, Leipzig University
  • 2019 - B.Sc. Computer Science, Leipzig University

Research

  • Privacy-Preserving Data Analysis (Machine Learning)

Teaching

Lectures:

  • DBS2

Tutorials:

  • DBS1

  • DBS2

Labs:

  • Data Warehouse / Data Mining

  • Relational Databases

  • Big Data

Seminars:

  • Trends in Data Analytics and Machine Learning

Betreute Abschlussarbeiten (16)

Jahr Typ Student Titel Status
2025 B. Sc. Oliver Hamm Slicing Dynamic Time Warping for Time Series Retrieval and Clustering Abgeschlossen
2025 B. Sc. Tim Kästner Erkennung von Elektroautos auf Straßenbildern Abgeschlossen
2025 M. Sc. Jonathan Weske Verbesserung von Federated Daisy Chaining bei heterogenen Daten Abgeschlossen
2025 M. Sc. Max Martius Model and Data Independent Property Inference Attacks Abgeschlossen
2025 M. Sc. Ole Borchardt Federated Learning With Individualized Differential Privacy By Client Sampling Abgeschlossen
2025 M. Sc. Adrian Böttinger Supervised learning from user-driven privatized data Abgeschlossen
2024 B. Sc. Greta Weißgerber On the utility and privacy of user-driven privatized data Abgeschlossen
2024 B. Sc. Lukas Metz Learning Super Mario Bros - Investigation of the Influence of Generalized States in Reinforcement Learning Abgeschlossen
2024 M. Sc. Maximilian Heykeroth Image Dataset Characteristics and Their Influence on Privacy-Preserving Machine Learning Abgeschlossen
2024 M. Sc. Tobias Schreieder Re-Identification Attacks on Smartwatch Health Data Abgeschlossen
2024 M. Sc. Marcel Lehmann Data Augmentation for Time Series Data Abgeschlossen
2023 B. Sc. Daniel Grohmann Kolorieren Historischer Fotos der Stadt Leipzig mit Deep-Learning-Techniken Abgeschlossen
2023 B. Sc. Felix Vogel Privatsphäre-erhaltende Sentiment Analyse auf Twitter Abgeschlossen
2023 M. Sc. Borislav Degenkolb Entwicklung eines Privatsphäre-erhaltenden Transformers zur Stresserkennung anhand von Smartwatch-Health-Daten Abgeschlossen
2023 M. Sc. Nils Wenzlitschke Privacy-Preserving Smartwatch Health Data Generation For Stress Detection Using GANs Abgeschlossen
2022 B. Sc. Noah Rasp A Study on the Impact of Class Imbalance on CNNs for Bee Health Detection Abgeschlossen

Publications (11)

Dateien Cover Beschreibung Jahr
The use of differential privacy for privacy-preserving record linkage: Protecting the bits but not the people
Ziyad, S. ; Christen, P. ; Schnell, R. ; Lange, L. ; Vidanage, A.
Information Systems
2026 / 3
Learning from Anonymized and Incomplete Tabular Data
Lange, L. ; Böttinger, A. ; Christen, V. ; Vidanage, A. ; Christen, P. ; Rahm, E.
arXiv:2602.01217 preprint
2026 / 2
Slice it up: Unmasking User Identities in Smartwatch Health Data
Lange, L. ; Schreieder, T. ; Christen, V. ; Rahm, E.
20th ACM ASIA Conference on Computer and Communications Security (AsiaCCS 2025)
2025 / 8
Federated Learning With Individualized Privacy Through Client Sampling
Lange, L. ; Borchardt, O. ; Rahm, E.
10th International Conference on Machine Learning Technologies (ICMLT 2025) [Best Presentation Award]
2025 / 5
Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning
Lange, L. ; Heykeroth, M. ; Rahm, E.
21st Conference on Database Systems for Business, Technology and Web (BTW 2025)
2025 / 3
Property Inference as a Regression Problem: Attacks and Defense
Stock, J. ; Lange, L. ; Rahm, E. ; Federrath, H.
21th International Conference on Security and Cryptography (SECRYPT 2024) [Best Poster Award]
2024 / 7
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection
Lange, L. ; Wenzlitschke, N. ; Rahm, E.
Sensors 2024, 24(10), 3052
2024 / 5
Privacy-Preserving Stress Detection Using Smartwatch Health Data
Lange, L. ; Degenkolb, B. ; Rahm, E.
4. Interdisciplinary Privacy & Security at Large Workshop, INFORMATIK 2023
2023 / 9
Privacy-Preserving Sentiment Analysis on Twitter
Vogel, F. ; Lange, L.
SKILL 2023
2023 / 9
Privacy in Practice: Private COVID-19 Detection in X-Ray Images
Lange, L. ; Schneider, M. ; Christen, P. ; Rahm, E.
20th International Conference on Security and Cryptography (SECRYPT 2023)
2023 / 7