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: SoSe23 (Lecture on Pandas)

Tutorials:

Labs:

Seminars:

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

Betreute Abschlussarbeiten (13)

Jahr Typ Student Titel Status
B. Sc. Greta Weißgerber On the utility and privacy of user-driven privatized data Running
M. Sc. Ole Borchardt Federated Learning With Individualized Differential Privacy By Client Sampling Running
B. Sc. Julian Dietz ImageNet Pre-training Strategies for DP-SGD Running
M. Sc. Adrian Böttinger Supervised learning from user-driven privatized data Running
B. Sc. Lukas auf der Landwehr Federated Learning on User-Level Data Distributions Running
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
2023 M. Sc. Borislav Degenkolb Entwicklung eines Privatsphäre-erhaltenden Transformers zur Stresserkennung anhand von Smartwatch-Health-Daten 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 B. Sc. Daniel Grohmann Kolorieren Historischer Fotos der Stadt Leipzig mit Deep-Learning-Techniken Finished
2022 B. Sc. Noah Rasp A Study on the Impact of Class Imbalance on CNNs for Bee Health Detection Finished

Publications (7)

Dateien Cover Beschreibung Jahr
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection
Lange, L. ; Wenzlitschke, N. ; Rahm, E.
arXiv preprint arXiv:2401.13327
2024 / 1
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 at Risk: Exploiting Similarities in Health Data for Identity Inference
Lange, L. ; Schreieder, T. ; Christen, V. ; Rahm, E.
arXiv preprint arXiv:2308.08310
2023 / 8
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
Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version)
Lange, L. ; Schneider, M. ; Christen, P. ; Rahm, E.
arXiv preprint arXiv:2211.11434
2022 / 11
SentArg: A Hybrid Doc2Vec/DPH Model with Sentiment Analysis Refinement
Staudte, C. ; Lange, L.
CLEF 2020 Working Notes
2020 / 9