- Lucas Lange
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Jahr | Typ | Student | Titel | Status |
---|---|---|---|---|
M. Sc. | Max Martius | Model and Data Independent Property Inference Attacks | Running | |
B. Sc. | Tim Kästner | Erkennung von Elektroautos auf Straßenbildern | Running | |
B. Sc. | Lukas auf der Landwehr | Federated Learning on User-Level Data Distributions | Running | |
M. Sc. | Adrian Böttinger | Supervised learning from user-driven privatized data | Running | |
M. Sc. | Ole Borchardt | Federated Learning With Individualized Differential Privacy By Client Sampling | Running | |
M. Sc. | Jonathan Weske | Federated Daisy Chaining | Running | |
B. Sc. | Oliver Hamm | Slicing Dynamic Time Warping for Time Series Retrieval and Clustering | Running | |
2024 | M. Sc. | Marcel Lehmann | Data Augmentation for Time Series Data | Finished |
2024 | M. Sc. | Maximilian Heykeroth | Image Dataset Characteristics and Their Influence on Privacy-Preserving Machine Learning | Finished |
2024 | B. Sc. | Lukas Metz | Learning Super Mario Bros - Investigation of the Influence of Generalized States in Reinforcement Learning | Finished |
2024 | M. Sc. | Tobias Schreieder | Re-Identification Attacks on Smartwatch Health Data | Finished |
2024 | B. Sc. | Greta Weißgerber | On the utility and privacy of user-driven privatized data | Finished |
2023 | M. Sc. | Borislav Degenkolb | Entwicklung eines Privatsphäre-erhaltenden Transformers zur Stresserkennung anhand von Smartwatch-Health-Daten | Finished |
2023 | M. Sc. | Nils Wenzlitschke | Privacy-Preserving Smartwatch Health Data Generation For Stress Detection Using GANs | Finished |
2023 | B. Sc. | Felix Vogel | Privatsphäre-erhaltende Sentiment Analyse auf Twitter | 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 |
Dateien | Cover | Beschreibung | Jahr Sort ascending |
---|---|---|---|
2024 / 5 | |||
Stock, J.
; Lange, L.
; Rahm, E.
; Federrath, H.
21th International Conference on Security and Cryptography (SECRYPT 2024)
|
2024 / 7 | ||
2024 / 9 | |||
2024 / 9 | |||
Lange, L.
; Degenkolb, B.
; Rahm, E.
4. Interdisciplinary Privacy & Security at Large Workshop, INFORMATIK 2023
|
2023 / 9 | ||
2023 / 9 | |||
Lange, L.
; Schneider, M.
; Christen, P.
; Rahm, E.
20th International Conference on Security and Cryptography (SECRYPT 2023)
|
2023 / 7 | ||
2020 / 9 |