Usable Differential Privacy for the Internet-of-Things. - Patrick Kühtreiber; Delphine Reinhardt (PerCom Workshops, 2021)

Exploration of Factors that Can Impact the Willingness of Employees to Share Smart Watch Data with Their Employers. - Alexander Richter; Patrick Kühtreiber; Delphine Reinhardt (Privacy and Identity Management, 2021)

On the Impact of Information Provided to Employees on their Intention to Disclose Data Collected by Smart Watches to their Employers. - Alexander Richter; Patrick Kühtreiber; Delphine Reinhardt (ECIS, 2022)

Enhanced Privacy in Smart Workplaces: Employees' Preferences for Transparency Indicators and Control Interactions in the Case of Data Collection with Smart Watches. - Alexander Richter; Patrick Kühtreiber; Delphine Reinhardt (SEC, 2022)

Replication: The Effect of Differential Privacy Communication on German Users' Comprehension and Data Sharing Attitudes. - Patrick Kühtreiber; Viktoriya Pak; Delphine Reinhardt (SOUPS @ USENIX Security Symposium, 2022)

A survey on solutions to support developers in privacy-preserving IoT development. - Patrick Kühtreiber; Viktoriya Pak; Delphine Reinhardt (Pervasive Mob. Comput., 2022)

"A method like this would be overkill": Developers' Perceived Issues with Privacy-preserving Computation Methods. - Patrick Kühtreiber; Viktoriya Pak; Delphine Reinhardt (TrustCom, 2023)

"We've Met Some Problems": Developers' Issues with Privacy-Preserving Computation Techniques on Stack Overflow. - Patrick Kühtreiber; Sabrina Heimermann; Sebastian Schillinger; Delphine Reinhardt (SEC (1), 2025)