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2020 – today
- 2023
[c6]Patrick Kühtreiber, Viktoriya Pak, Delphine Reinhardt:
"A method like this would be overkill": Developers' Perceived Issues with Privacy-preserving Computation Methods. TrustCom 2023: 1041-1048- 2022
- [j1]Patrick Kühtreiber, Viktoriya Pak, Delphine Reinhardt
:
A survey on solutions to support developers in privacy-preserving IoT development. Pervasive Mob. Comput. 85: 101656 (2022) - [c5]Alexander Richter, Patrick Kühtreiber, Delphine Reinhardt:
On the Impact of Information Provided to Employees on their Intention to Disclose Data Collected by Smart Watches to their Employers. ECIS 2022 - [c4]Alexander Richter, Patrick Kühtreiber, Delphine Reinhardt:
Enhanced Privacy in Smart Workplaces: Employees' Preferences for Transparency Indicators and Control Interactions in the Case of Data Collection with Smart Watches. SEC 2022: 34-50 - [c3]Patrick Kühtreiber, Viktoriya Pak, Delphine Reinhardt:
Replication: The Effect of Differential Privacy Communication on German Users' Comprehension and Data Sharing Attitudes. SOUPS @ USENIX Security Symposium 2022: 117-134 - 2021
- [c2]Patrick Kühtreiber, Delphine Reinhardt:
Usable Differential Privacy for the Internet-of-Things. PerCom Workshops 2021: 426-427 - [c1]Alexander Richter, Patrick Kühtreiber, Delphine Reinhardt:
Exploration of Factors that Can Impact the Willingness of Employees to Share Smart Watch Data with Their Employers. Privacy and Identity Management 2021: 160-179
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