Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups von Wainakh, Aidmar, Zimmer, Ephraim, Subedi, Sandeep, Keim, Jens, Grube, Tim, Karuppayah, Shankar, Sanchez Guinea, Alejandro, Mühlhäuser, Max

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On Generating Network Traffic Datasets with Synthetic Attacks for Intrusion Detection von Cordero, Carlos Garcia, Vasilomanolakis, Emmanouil, Wainakh, Aidmar, Mühlhäuser, Max, Nadjm-Tehrani, Simin

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User-Level Label Leakage from Gradients in Federated Learning von Wainakh, Aidmar, Ventola, Fabrizio, Müßig, Till, Keim, Jens, Cordero, Carlos Garcia, Zimmer, Ephraim, Grube, Tim, Kersting, Kristian, Mühlhäuser, Max

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Text Localization in Born-Digital Images of Advertisements von Siegmund, Dirk, Wainakh, Aidmar, Ebert, Tina, Braun, Andreas, Kuijper, Arjan

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Enhancing Privacy via Hierarchical Federated Learning von Wainakh, Aidmar, Guinea, Alejandro Sanchez, Grube, Tim, Mühlhäuser, Max

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Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups von Wainakh, Aidmar, Zimmer, Ephraim, Subedi, Sandeep, Keim, Jens, Grube, Tim, Karuppayah, Shankar, Guinea, Alejandro Sanchez, Mühlhäuser, Max

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User-Level Label Leakage from Gradients in Federated Learning von Wainakh, Aidmar, Ventola, Fabrizio, Müßig, Till, Keim, Jens, Cordero, Carlos Garcia, Zimmer, Ephraim, Grube, Tim, Kersting, Kristian, Mühlhäuser, Max

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Verification of single-person access in a mantrap portal using RGB-D images von Siegmund, Dirk, Wainakh, Aidmar, Braun, Andreas

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On generating network traffic datasets with synthetic attacks for intrusion detection von Cordero, Carlos Garcia, Vasilomanolakis, Emmanouil, Wainakh, Aidmar, Mühlhäuser, Max, Nadjm-Tehrani, Simin

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Enhancing Privacy via Hierarchical Federated Learning von Wainakh, Aidmar, Alejandro Sanchez Guinea, Grube, Tim, Mühlhäuser, Max

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User-Level Label Leakage from Gradients in Federated Learning von Wainakh, Aidmar, Ventola, Fabrizio, Müßig, Till, Keim, Jens, Carlos Garcia Cordero, Zimmer, Ephraim, Grube, Tim, Kersting, Kristian, Mühlhäuser, Max

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Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups von Wainakh, Aidmar, Zimmer, Ephraim, Subedi, Sandeep, Keim, Jens, Grube, Tim, Shankar Karuppayah, Alejandro Sanchez Guinea, Mühlhäuser, Max

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On generating network traffic datasets with synthetic attacks for intrusion detection von Carlos Garcia Cordero, Vasilomanolakis, Emmanouil, Wainakh, Aidmar, Mühlhäuser, Max, Nadjm-Tehrani, Simin

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