Attack detection in an autonomous entrance system using optical flow. - Dirk Siegmund; Biying Fu; Timotheos Samartzidis; Aidmar Wainakh; Arjan Kuijper; A. Braun (ICDP, 2016)

Text Localization in Born-Digital Images of Advertisements. - Dirk Siegmund; Aidmar Wainakh; Tina Ebert; Andreas Braun 001; Arjan Kuijper (CIARP, 2017)

Tweet beyond the Cage: A Hybrid Solution for the Privacy Dilemma in Online Social Networks. - Aidmar Wainakh; Tim Grube; Jörg Daubert; Carsten Porth; Max Mühlhäuser (GLOBECOM, 2019)

Efficient privacy-preserving recommendations based on social graphs. - Aidmar Wainakh; Tim Grube; Jörg Daubert; Max Mühlhäuser (RecSys, 2019)

Enhancing Privacy via Hierarchical Federated Learning. - Aidmar Wainakh; Alejandro Sánchez Guinea; Tim Grube; Max Mühlhäuser (EuroS&P Workshops, 2020)

Enabling Privacy-Preserving Rule Mining in Decentralized Social Networks. - Aidmar Wainakh; Aleksej Strassheim; Tim Grube; Jörg Daubert; Max Mühlhäuser (ARES, 2021)

Label Leakage from Gradients in Distributed Machine Learning. - Aidmar Wainakh; Till Müßig; Tim Grube; Max Mühlhäuser (CCNC, 2021)

Mitigating Privacy Concerns by Developing Trust-related Software Features for a Hybrid Social Media Application. - Angela Borchert; Aidmar Wainakh; Nicole Krämer 001; Max Mühlhäuser; Maritta Heisel (ENASE, 2021)

The Relevance of Privacy Concerns, Trust, and Risk for Hybrid Social Media. - Angela Borchert; Aidmar Wainakh; Nicole Krämer 001; Max Mühlhäuser; Maritta Heisel (ENASE (Selected Papers), 2021)

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 Generating Network Traffic Datasets with Synthetic Attacks for Intrusion Detection. - Carlos Garcia Cordero; Emmanouil Vasilomanolakis; Aidmar Wainakh; Max Mühlhäuser; Simin Nadjm-Tehrani (ACM Trans. Priv. Secur., 2021)

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)

On Privacy-Enhanced Distributed Analytics in Online Social Networks. - Aidmar Wainakh (2022)

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)