Anonymity Online for Everyone: What Is Missing for Zero-Effort Privacy on the Internet? - Dominik Herrmann; Jens Lindemann 001; Ephraim Zimmer; Hannes Federrath (iNetSeC, 2015)

Catching Inside Attackers: Balancing Forensic Detectability and Privacy of Employees. - Ephraim Zimmer; Jens Lindemann 001; Dominik Herrmann; Hannes Federrath (iNetSeC, 2015)

Hashing of personally identifiable information is not sufficient. - Matthias Marx; Ephraim Zimmer; Tobias Mueller; Maximilian Blochberger; Hannes Federrath (Sicherheit, 2018)

Using Context and Provenance to defend against USB-borne attacks. - Tobias Mueller; Ephraim Zimmer; Ludovico de Nittis (ARES, 2019)

PEEPLL: privacy-enhanced event pseudonymisation with limited linkability. - Ephraim Zimmer; Christian Burkert; Tom Petersen; Hannes Federrath (SAC, 2020)

Datenschutzfreundliche Erkennung und Abwehr von Insiderbedrohungen. - Ephraim Zimmer (2020)

User Label Leakage from Gradients in Federated Learning. - Aidmar Wainakh; Fabrizio Ventola; Till Müßig; Jens Keim; Carlos Garcia Cordero; Ephraim Zimmer; Tim Grube; Kristian Kersting; Max Mühlhäuser (CoRR, 2021)

On the Effectiveness of Intersection Attacks in Anonymous Microblogging. - Sarah Abdelwahab Gaballah; Lamya Abdullah; Minh Tung Tran; Ephraim Zimmer; Max Mühlhäuser (NordSec, 2022)

Insiders Dissected: New Foundations and a Systematisation of the Research on Insiders. - Ephraim Zimmer; Christian Burkert; Hannes Federrath (DTRAP, 2022)

User-Level Label Leakage from Gradients in Federated Learning. - Aidmar Wainakh; Fabrizio Ventola; Till Müßig; Jens Keim; Carlos Garcia Cordero; Ephraim Zimmer; Tim Grube; Kristian Kersting; Max Mühlhäuser (Proc. Priv. Enhancing Technol., 2022)

Mitigating Intersection Attacks in Anonymous Microblogging. - Sarah Abdelwahab Gaballah; Thanh Hoang Long Nguyen; Lamya Abdullah; Ephraim Zimmer; Max Mühlhäuser (ARES, 2023)

Label-Aware Aggregation for Improved Federated Learning. - Ahmad Khalil 002; Aidmar Wainakh; Ephraim Zimmer; Javier Parra-Arnau; Antonio Fernández Anta; Tobias Meuser; Ralf Steinmetz (FMEC, 2023)

Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups. - Aidmar Wainakh; Ephraim Zimmer; Sandeep Subedi; Jens Keim; Tim Grube; Shankar Karuppayah; Alejandro Sánchez Guinea; Max Mühlhäuser (Sensors, 2023)

Anonify: Decentralized Dual-level Anonymity for Medical Data Donation. - Sarah Abdelwahab Gaballah; Lamya Abdullah; Mina Alishahi; Thanh Hoang Long Nguyen; Ephraim Zimmer; Max Mühlhäuser; Karola Marky (Proc. Priv. Enhancing Technol., 2024)

Wie stellen sich Nutzende ihren Privatsphäre-Assistenten vor? - Alina Stöver; Sara Hahn; Simon Althaus; Ephraim Zimmer; Nina Gerber (Datenschutz und Datensicherheit (dud), 2024)

"It's Not My Data Anymore": Exploring Non-Users' Privacy Perceptions of Medical Data Donation Apps. - Sarah Abdelwahab Gaballah; Lamya Abdullah; Ephraim Zimmer; Sascha Fahl; Max Mühlhäuser; Karola Marky (Proc. Priv. Enhancing Technol., 2025)