Sascha Löbner

Orcid: 0000-0001-9164-1919

According to our database1, Sascha Löbner authored at least 11 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Systematizing the State of Knowledge in Detecting Privacy Sensitive Information in Unstructured Texts using Machine Learning.
Proceedings of the 20th Annual International Conference on Privacy, Security and Trust, 2023

Effectiveness and Information Quality Perception of an AI Model Card: A Study Among Non-Experts.
Proceedings of the 20th Annual International Conference on Privacy, Security and Trust, 2023

Comparing the Effect of Privacy and Non-Privacy Social Media Photo Tools on Factors of Privacy Concern.
Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023

An Evaluation of Information Flows in Digital Euro Transactions Using Contextual Integrity Theory.
Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023

Privacy Preserving Data Analysis with the Encode, Shuffle, Analyse Architecture in Vehicular Data Sharing.
Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023

User Acceptance Criteria for Privacy Preserving Machine Learning Techniques.
Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023

2022
A Discussion on Ethical Cybersecurity Issues in Digital Service Chains.
Proceedings of the Cybersecurity of Digital Service Chains, 2022

"All apps do this": Comparing Privacy Concerns Towards Privacy Tools and Non-Privacy Tools for Social Media Content.
Proc. Priv. Enhancing Technol., 2022

Enhancing Privacy in Federated Learning with Local Differential Privacy for Email Classification.
Proceedings of the Data Privacy Management, Cryptocurrencies and Blockchain Technology, 2022

2021
Explainable Machine Learning for Default Privacy Setting Prediction.
IEEE Access, 2021

Comparison of De-Identification Techniques for Privacy Preserving Data Analysis in Vehicular Data Sharing.
Proceedings of the CSCS '21: Computer Science in Cars Symposium, 2021


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