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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: SoSe23 (Lecture on Pandas)

Tutorials:

Labs:

Seminars:

  • Trends in Data Analytics and Machine Learning: WiSe22/23

Betreute Abschlussarbeiten (16)

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

Publications (9)

Dateien Cover Beschreibung Jahr
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) [accepted]
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) [accepted]
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
SentArg: A Hybrid Doc2Vec/DPH Model with Sentiment Analysis Refinement
Staudte, C. ; Lange, L.
CLEF 2020 Working Notes
2020 / 9