About

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

Contact

• E-Mail: lange [at] informatik.uni-leipzig.de
• Office: Room P-416, Paulinum, Augustusplatz 10, 04109, Leipzig
• Phone: +49 341 97 32316

Research

• Privacy-Preserving Data Analysis (Machine Learning)

Thesis Supervision

• Feel free to contact me for more info or topic proposals/requests.

• Open Theses

• Ongoing Theses

  • Bachelor: Daniel Grohmann - Colorizing Old Photos of Leipzig Using Deep Learning
  • Master: Nils Wenzlitschke - Privacy-Preserving Smartwatch Health Data Generation Using DP-GANs
  • Bachelor: Lukas Metz - Beating Super Mario Bros With AI: A Playful Comparison of Reinforcement Learning and Genetic Algorithms
  • Master: Maximilian Heykeroth - Image Dataset Characteristics Under LiRA Membership Inference Attacks
  • Master: Tobias Schreieder - Re-Identification Attacks on Smartwatch Health Data

• Finished Theses

  • Master: Borislav Degenkolb (2023) - Entwicklung eines Privatsphäre-erhaltenden Transformers zur Stresserkennung anhand von Smartwatch-Health-Daten
  • Bachelor: Felix Vogel (2023) - Privatsphäre-erhaltende Sentiment Analyse auf Twitter
  • Bachelor: Noah Rasp (2022) - A Study on the Impact of Class Imbalance on CNNs for Bee Health Detection

Publications

Lange, Lucas; Degenkolb, Borislav; Rahm, Erhard Privacy-Preserving Stress Detection Using Smartwatch Health Data 4. Privacy & Security at Large Workshop, INFORMATIK 2023 2023-09

Lange, Lucas; Schneider, Maja; Christen, Peter; Rahm, Erhard Privacy in Practice: Private COVID-19 Detection in X-Ray Images 20th International Conference on Security and Cryptography, SECRYPT 2023 2023-07

Lange, Lucas; Schneider, Maja; Christen, Peter; Rahm, Erhard Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version) arXiv preprint arXiv:2211.11434 2022-11

Staudte, Christian; Lange, Lucas SentArg: A Hybrid Doc2Vec/DPH Model with Sentiment Analysis Refinement CLEF 2020 Working Notes 2020-09

Teaching

Tutorials:

• DBS1: WiSe22/23

• DBS2: SoSe22, SoSe23

Labs:

• Data Warehouse / Data Mining: WiSe22/23

• Relational Databases: SoSe22, SoSe23

• Big Data: SoSe22, SoSe23

Seminars:

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