Comparison of De-Identification Techniques for Privacy Preserving Data Analysis in Vehicular Data Sharing. - Sascha Löbner; Frédéric Tronnier; Sebastian Pape 001; Kai Rannenberg (CSCS, 2021)

Explainable Machine Learning for Default Privacy Setting Prediction. - Sascha Löbner; Welderufael B. Tesfay; Toru Nakamura; Sebastian Pape 001 (IEEE Access, 2021)

Enhancing Privacy in Federated Learning with Local Differential Privacy for Email Classification. - Sascha Löbner; Boris Gogov; Welderufael B. Tesfay (DPM/CBT@ESORICS, 2022)

"All apps do this": Comparing Privacy Concerns Towards Privacy Tools and Non-Privacy Tools for Social Media Content. - Vanessa Bracamonte; Sebastian Pape 001; Sascha Löbner (Proc. Priv. Enhancing Technol., 2022)

A Discussion on Ethical Cybersecurity Issues in Digital Service Chains. - Frédéric Tronnier; Sebastian Pape 001; Sascha Löbner; Kai Rannenberg (Cybersecurity of Digital Service Chains, 2022)

User Acceptance Criteria for Privacy Preserving Machine Learning Techniques. - Sascha Löbner; Sebastian Pape 001; Vanessa Bracamonte (ARES, 2023)

Privacy Preserving Data Analysis with the Encode, Shuffle, Analyse Architecture in Vehicular Data Sharing. - Sascha Löbner; Christian Gartner; Frédéric Tronnier (EICC, 2023)

An Evaluation of Information Flows in Digital Euro Transactions Using Contextual Integrity Theory. - Frédéric Tronnier; Patrick Biker; Erik Baur; Sascha Löbner (EICC, 2023)

Comparing the Effect of Privacy and Non-Privacy Social Media Photo Tools on Factors of Privacy Concern. - Vanessa Bracamonte; Sebastian Pape 001; Sascha Löbner (ICISSP, 2023)

Effectiveness and Information Quality Perception of an AI Model Card: A Study Among Non-Experts. - Vanessa Bracamonte; Sebastian Pape 001; Sascha Löbner; Frédéric Tronnier (PST, 2023)

Systematizing the State of Knowledge in Detecting Privacy Sensitive Information in Unstructured Texts using Machine Learning. - Sascha Löbner; Welderufael B. Tesfay; Vanessa Bracamonte; Toru Nakamura (PST, 2023)

Factors of Intention to Use a Photo Tool: Comparison Between Privacy-Enhancing and Non-privacy-enhancing Tools. - Vanessa Bracamonte; Sebastian Pape 001; Sascha Löbner (SEC, 2023)

User Issues and Concerns in Generative AI: A Mixed-Methods Analysis of App Reviews. - Vanessa Bracamonte; Sascha Löbner; Frédéric Tronnier; Ann-Kristin Lieberknecht; Sebastian Pape 001 (CHIRA (1), 2024)

An In-Depth Analysis of Security and Privacy Concerns in Smart Home IoT Devices Through Expert User Interviews. - Sascha Löbner; Frédéric Tronnier; László Miller; Jens Lindemann 001 (World Conference on Information Security Education, 2024)

A Systematic Literature Review on Gender Bias in AI - Towards Inclusiveness in Machine Learning. - Frédéric Tronnier; Sascha Löbner; Alina Azanbayev; Max Lukas Walter (PACIS, 2024)

Better Than Ever? Analyzing The Impact of Change in Consensus Mechanism On Market Liquidity For Ethereum. - Frédéric Tronnier; Aleksandar Stoev; Peter Hamm; Sascha Löbner (PACIS, 2024)

Which PPML Would a User Choose? A Structured Decision Support Framework for Developers to Rank PPML Techniques Based on User Acceptance Criteria. - Sascha Löbner; Sebastian Pape 001; Vanessa Bracamonte; Kittiphop Phalakarn (CoRR, 2024)

Mitigating Bias in Recruitment: A Practical Approach to CV De-identification Considering Privacy Sensitive Information. - Sascha Löbner; Jetzabel M. Serna; Frédéric Tronnier; Welderufael Tesfay; Kai Rannenberg (ARES (Workshops 2), 2025)