Aidmar Wainakh

17 papers A 1B 3C 1Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups. Sensors Aidmar Wainakh, Ephraim Zimmer, Sandeep Subedi, Jens Keim, Tim Grube, Shankar Karuppayah, Alejandro Sánchez Guinea, Max Mühlhäuser
2023	—	`conf`	Label-Aware Aggregation for Improved Federated Learning. FMEC Ahmad Khalil, Aidmar Wainakh, Ephraim Zimmer, Javier Parra-Arnau, Antonio Fernández Anta, Tobias Meuser, Ralf Steinmetz
2022	—	`—`	On Privacy-Enhanced Distributed Analytics in Online Social Networks. Aidmar Wainakh
2022	J	`jnl`	User-Level Label Leakage from Gradients in Federated Learning. Proc. Priv. Enhancing Technol. Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser
2021	B	`conf`	Enabling Privacy-Preserving Rule Mining in Decentralized Social Networks. ARES Aidmar Wainakh, Aleksej Strassheim, Tim Grube, Jörg Daubert, Max Mühlhäuser
2021	—	`conf`	Label Leakage from Gradients in Distributed Machine Learning. CCNC Aidmar Wainakh, Till Müßig, Tim Grube, Max Mühlhäuser
2021	B	`conf`	Mitigating Privacy Concerns by Developing Trust-related Software Features for a Hybrid Social Media Application. ENASE Angela Borchert, Aidmar Wainakh, Nicole Krämer, Max Mühlhäuser, Maritta Heisel
2021	J	`jnl`	On Generating Network Traffic Datasets with Synthetic Attacks for Intrusion Detection. ACM Trans. Priv. Secur. Carlos Garcia Cordero, Emmanouil Vasilomanolakis, Aidmar Wainakh, Max Mühlhäuser, Simin Nadjm-Tehrani
2021	—	`conf`	The Relevance of Privacy Concerns, Trust, and Risk for Hybrid Social Media. ENASE (Selected Papers) Angela Borchert, Aidmar Wainakh, Nicole Krämer, Max Mühlhäuser, Maritta Heisel
2021	J	`jnl`	User Label Leakage from Gradients in Federated Learning. CoRR Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser
2020	—	`conf`	Enhancing Privacy via Hierarchical Federated Learning. EuroS&P Workshops Aidmar Wainakh, Alejandro Sánchez Guinea, Tim Grube, Max Mühlhäuser
2020	J	`jnl`	Enhancing Privacy via Hierarchical Federated Learning. CoRR Aidmar Wainakh, Alejandro Sánchez Guinea, Tim Grube, Max Mühlhäuser
2019	A	`conf`	Efficient privacy-preserving recommendations based on social graphs. RecSys Aidmar Wainakh, Tim Grube, Jörg Daubert, Max Mühlhäuser
2019	J	`jnl`	On generating network traffic datasets with synthetic attacks for intrusion detection. CoRR Carlos Garcia Cordero, Emmanouil Vasilomanolakis, Aidmar Wainakh, Max Mühlhäuser, Simin Nadjm-Tehrani
2019	B	`conf`	Tweet beyond the Cage: A Hybrid Solution for the Privacy Dilemma in Online Social Networks. GLOBECOM Aidmar Wainakh, Tim Grube, Jörg Daubert, Carsten Porth, Max Mühlhäuser
2017	C	`conf`	Text Localization in Born-Digital Images of Advertisements. CIARP Dirk Siegmund, Aidmar Wainakh, Tina Ebert, Andreas Braun, Arjan Kuijper
2016	—	`conf`	Attack detection in an autonomous entrance system using optical flow. ICDP Dirk Siegmund, Biying Fu, Timotheos Samartzidis, Aidmar Wainakh, Arjan Kuijper, A. Braun