Lucas Lange

According to our database, Lucas Lange authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning from Anonymized and Incomplete Tabular Data.

Lucas Lange, Adrian Böttinger, Victor Christen, Anushka Vidanage, Peter Christen, Erhard Rahm

CoRR, February, 2026

Anonymized Datasets and LLM Imputation/Predition for Adult Income, German Credit, Diabetes Readmission, Employment.

Lucas Lange, Adrian Böttinger, Victor Christen, Anushka Vidanage, Peter Christen, Erhard Rahm

Dataset, January, 2026

The use of differential privacy for privacy-preserving record linkage: Protecting the bits but not the people.

Sumayya Ziyad, Peter Christen, Rainer Schnell, Lucas Lange, Anushka Vidanage

Inf. Syst., 2026

2025

Federated SVHN (i.i.d.) and CIFAR-10 (i.i.d. and non-i.i.d.).

Lucas Lange, Ole Borchardt, Erhard Rahm

Dataset, January, 2025

Federated Learning With Individualized Privacy Through Client Sampling.

Lucas Lange, Ole Borchardt, Erhard Rahm

Proceedings of the 10th International Conference on Machine Learning Technologies, 2025

Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning.

Lucas Lange, Maurice-Maximilian Heykeroth, Erhard Rahm

Proceedings of the Datenbanksysteme für Business, 2025

Slice it up: Unmasking User Identities in Smartwatch Health Data.

Lucas Lange, Tobias Schreieder, Victor Christen, Erhard Rahm

Proceedings of the 20th ACM Asia Conference on Computer and Communications Security, 2025

2024

Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection.

Lucas Lange, Nils Wenzlitschke, Erhard Rahm

Sensors, May, 2024

Synthetic Health Sensor Data From Wearables With Stress Labels.

Lucas Lange, Nils Wenzlitschke, Erhard Rahm

Dataset, May, 2024

Property Inference as a Regression Problem: Attacks and Defense.

Joshua Stock, Lucas Lange, Erhard Rahm, Hannes Federrath

Proceedings of the 21st International Conference on Security and Cryptography, 2024

2023

Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference.

Lucas Lange, Tobias Schreieder, Victor Christen, Erhard Rahm

CoRR, 2023

Privacy-Preserving Sentiment Analysis on Twitter.

Felix Vogel, Lucas Lange

Proceedings of the Studierendenkonferenz Informatik, 2023

Privacy in Practice: Private COVID-19 Detection in X-Ray Images.

Lucas Lange, Maja Schneider, Peter Christen, Erhard Rahm

Proceedings of the 20th International Conference on Security and Cryptography, 2023

Privacy-Preserving Stress Detection Using Smartwatch Health Data.

Lucas Lange, Borislav Degenkolb, Erhard Rahm

Proceedings of the 53. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2023, Designing Future, 2023

2022

Privacy in Practice: Private COVID-19 Detection in X-Ray Images.

Lucas Lange, Maja Schneider, Erhard Rahm

CoRR, 2022

2020

SentArg: A Hybrid Doc2Vec/DPH Model with Sentiment Analysis Refinement.

Christian Staudte, Lucas Lange

Proceedings of the Working Notes of CLEF 2020, 2020