Sascha Löbner

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Literature Review

Privacy Preserving

Information Flows

Top Venues

Publications

Sascha Löbner, Frédéric Tronnier, László Miller, Jens Lindemann
An In-Depth Analysis of Security and Privacy Concerns in Smart Home IoT Devices Through Expert User Interviews. World Conference on Information Security Education (2024)
Frédéric Tronnier, Sascha Löbner, Alina Azanbayev, Max Lukas Walter
A Systematic Literature Review on Gender Bias in AI - Towards Inclusiveness in Machine Learning. PACIS (2024)
Frédéric Tronnier, Aleksandar Stoev, Peter Hamm, Sascha Löbner
Better Than Ever? Analyzing The Impact of Change in Consensus Mechanism On Market Liquidity For Ethereum. PACIS (2024)
Sascha Löbner, Sebastian Pape, Vanessa Bracamonte
User Acceptance Criteria for Privacy Preserving Machine Learning Techniques. ARES (2023)
Vanessa Bracamonte, Sebastian Pape, Sascha Löbner, Frédéric Tronnier
Effectiveness and Information Quality Perception of an AI Model Card: A Study Among Non-Experts. PST (2023)
Sascha Löbner, Christian Gartner, Frédéric Tronnier
Privacy Preserving Data Analysis with the Encode, Shuffle, Analyse Architecture in Vehicular Data Sharing. EICC (2023)
Vanessa Bracamonte, Sebastian Pape, Sascha Löbner
Factors of Intention to Use a Photo Tool: Comparison Between Privacy-Enhancing and Non-privacy-enhancing Tools. SEC (2023)
Frédéric Tronnier, Patrick Biker, Erik Baur, Sascha Löbner
An Evaluation of Information Flows in Digital Euro Transactions Using Contextual Integrity Theory. EICC (2023)
Sascha Löbner, Welderufael B. Tesfay, Vanessa Bracamonte, Toru Nakamura
Systematizing the State of Knowledge in Detecting Privacy Sensitive Information in Unstructured Texts using Machine Learning. PST (2023)
Vanessa Bracamonte, Sebastian Pape, Sascha Löbner
Comparing the Effect of Privacy and Non-Privacy Social Media Photo Tools on Factors of Privacy Concern. ICISSP (2023)
Sascha Löbner, Boris Gogov, Welderufael B. Tesfay
Enhancing Privacy in Federated Learning with Local Differential Privacy for Email Classification. DPM/CBT@ESORICS (2022)
Vanessa Bracamonte, Sebastian Pape, Sascha Löbner
"All apps do this": Comparing Privacy Concerns Towards Privacy Tools and Non-Privacy Tools for Social Media Content. Proc. Priv. Enhancing Technol. 2022 (3) (2022)
Sascha Löbner, Welderufael B. Tesfay, Toru Nakamura, Sebastian Pape
Explainable Machine Learning for Default Privacy Setting Prediction. IEEE Access 9 (2021)
Sascha Löbner, Frédéric Tronnier, Sebastian Pape, Kai Rannenberg
Comparison of De-Identification Techniques for Privacy Preserving Data Analysis in Vehicular Data Sharing. CSCS (2021)