Phillip Rieger
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
5
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CCS | Untitled record | Nojan Sheybani, Alessandro Pegoraro, Jonathan Knauer, Phillip Rieger, Elissa Mollakuqe, Farinaz Koushanfar, Ahmad-Reza Sadeghi |
| 2025 | NDSS | VoiceRadar: Voice Deepfake Detection using Micro-Frequency and Compositional Analysis. | Kavita Kumari, Maryam Abbasihafshejani, Alessandro Pegoraro, Phillip Rieger, Kamyar Arshi, Murtuza Jadliwala, Ahmad-Reza Sadeghi |
| 2025 | NDSS | SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning. | Phillip Rieger, Alessandro Pegoraro, Kavita Kumari, Tigist Abera, Jonathan Knauer, Ahmad-Reza Sadeghi |
| 2024 | CCS | Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning. | Jonathan Knauer, Phillip Rieger, Hossein Fereidooni, Ahmad-Reza Sadeghi |
| 2024 | NDSS | FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning. | Hossein Fereidooni, Alessandro Pegoraro, Phillip Rieger, Alexandra Dmitrienko, Ahmad-Reza Sadeghi |
| 2024 | NDSS | CrowdGuard: Federated Backdoor Detection in Federated Learning. | Phillip Rieger, Torsten Krau, Markus Miettinen, Alexandra Dmitrienko, Ahmad-Reza Sadeghi |
| 2024 | SP | LayerDBA: Circumventing Similarity-Based Defenses in Federated Learning. | Javor Nikolov, Alessandro Pegoraro, Phillip Rieger, Ahmad-Reza Sadeghi |
| 2023 | ACSAC | FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks. | Jorge Castillo, Phillip Rieger, Hossein Fereidooni, Qian Chen, Ahmad-Reza Sadeghi |
| 2023 | FPL | FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning. | Huimin Li, Phillip Rieger, Shaza Zeitouni, Stjepan Picek, Ahmad-Reza Sadeghi |
| 2023 | NDSS | AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms. | Hossein Fereidooni, Jan Knig, Phillip Rieger, Marco Chilese, Bora Gkbakan, Moritz Finke, Alexandra Dmitrienko, Ahmad-Reza Sadeghi |
| 2023 | SP | BayBFed: Bayesian Backdoor Defense for Federated Learning. | Kavita Kumari, Phillip Rieger, Hossein Fereidooni, Murtuza Jadliwala, Ahmad-Reza Sadeghi |
| 2022 | NDSS | FedCRI: Federated Mobile Cyber-Risk Intelligence. | Hossein Fereidooni, Alexandra Dmitrienko, Phillip Rieger, Markus Miettinen, Ahmad-Reza Sadeghi, Felix Madlener |
| 2022 | NDSS | DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection. | Phillip Rieger, Thien Duc Nguyen, Markus Miettinen, Ahmad-Reza Sadeghi |
| 2021 | SP | SAFELearn: Secure Aggregation for private FEderated Learning. | Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Helen Mllering, Thien Duc Nguyen, Phillip Rieger, Ahmad-Reza Sadeghi, Thomas Schneider, Hossein Yalame, Shaza Zeitouni |