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2020 – today
- 2024
[c12]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: 97-110- [c11]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 - [c10]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 - 2023
- [c9]Sascha Löbner, Sebastian Pape, Vanessa Bracamonte:
User Acceptance Criteria for Privacy Preserving Machine Learning Techniques. ARES 2023: 149:1-149:8 - [c8]Frédéric Tronnier, Patrick Biker, Erik Baur, Sascha Löbner:
An Evaluation of Information Flows in Digital Euro Transactions Using Contextual Integrity Theory. EICC 2023: 7-12 - [c7]Sascha Löbner, Christian Gartner, Frédéric Tronnier:
Privacy Preserving Data Analysis with the Encode, Shuffle, Analyse Architecture in Vehicular Data Sharing. EICC 2023: 85-91 - [c6]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: 669-676 - [c5]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: 1-7 - [c4]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: 1-7 - [c3]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: 321-334 - 2022
- [j2]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): 57-78 (2022) - [c2]Sascha Löbner, Boris Gogov, Welderufael B. Tesfay:
Enhancing Privacy in Federated Learning with Local Differential Privacy for Email Classification. DPM/CBT@ESORICS 2022: 3-18 - [p1]Frédéric Tronnier, Sebastian Pape, Sascha Löbner, Kai Rannenberg:
A Discussion on Ethical Cybersecurity Issues in Digital Service Chains. Cybersecurity of Digital Service Chains 2022: 222-256 - 2021
- [j1]Sascha Löbner, Welderufael B. Tesfay, Toru Nakamura, Sebastian Pape:
Explainable Machine Learning for Default Privacy Setting Prediction. IEEE Access 9: 63700-63717 (2021) - [c1]Sascha Löbner, Frédéric Tronnier, Sebastian Pape, Kai Rannenberg:
Comparison of De-Identification Techniques for Privacy Preserving Data Analysis in Vehicular Data Sharing. CSCS 2021: 7:1-7:11
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