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

Privacy in Practice: Private COVID-19 Detection in X-Ray Images. - Lucas Lange; Maja Schneider; Erhard Rahm (CoRR, 2022)

Privacy-Preserving Stress Detection Using Smartwatch Health Data. - Lucas Lange; Borislav Degenkolb; Erhard Rahm (GI-Jahrestagung, 2023)

Privacy in Practice: Private COVID-19 Detection in X-Ray Images. - Lucas Lange; Maja Schneider; Peter Christen; Erhard Rahm (SECRYPT, 2023)

Privacy-Preserving Sentiment Analysis on Twitter. - Felix Vogel; Lucas Lange (SKILL, 2023)

Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference. - Lucas Lange; Tobias Schreieder; Victor Christen; Erhard Rahm (CoRR, 2023)

Property Inference as a Regression Problem: Attacks and Defense. - Joshua Stock; Lucas Lange; Erhard Rahm; Hannes Federrath (SECRYPT, 2024)

Synthetic Health Sensor Data From Wearables With Stress Labels. - Lucas Lange; Nils Wenzlitschke; Erhard Rahm (Zenodo, 2024)

Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection. - Lucas Lange; Nils Wenzlitschke; Erhard Rahm (Sensors, 2024)

Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning. - Lucas Lange; Maurice-Maximilian Heykeroth; Erhard Rahm (BTW, 2025)

Federated SVHN (i.i.d.) and CIFAR-10 (i.i.d. and non-i.i.d.). - Lucas Lange; Ole Borchardt; Erhard Rahm (Zenodo, 2025)

Federated Learning With Individualized Privacy Through Client Sampling. - Lucas Lange; Ole Borchardt; Erhard Rahm (CoRR, 2025)