| FLAME: Taming Backdoors in Federated Learning TD Nguyen, P Rieger, H Chen, H Yalame, H Möllering, H Fereidooni, ... 31st USENIX Security Symposium (USENIX Security 22), 0 | 397* | |
| SAFELearn: Secure Aggregation for private FEderated Learning H Fereidooni, S Marchal, M Miettinen, A Mirhoseini, H Möllering, ... 2021 IEEE Security and Privacy Workshops (SPW), 56-62, 2021 | 244 | 2021 |
| Poisoning Attacks on Federated Learning-based IoT Intrusion Detection System TD Nguyen, P Rieger, M Miettinen, AR Sadeghi NDSS Workshop on Decentralized IoT Systems and Security, 2020 | 188 | 2020 |
| DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection P Rieger, TD Nguyen, M Miettinen, AR Sadeghi Network and Distributed Systems Security (NDSS) Symposium, 2022 | 175 | 2022 |
| BayBFed: Bayesian Backdoor Defense for Federated Learning K Kumari, P Rieger, H Fereidooni, M Jadliwala, AR Sadeghi 2023 IEEE Symposium on Security and Privacy (SP), 1747-1764, 2022 | 31 | 2022 |
| ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks P Rieger, M Chilese, R Mohamed, M Miettinen, H Fereidooni, AR Sadeghi 32nd USENIX Security Symposium (USENIX Security 23), 2023 | 24 | 2023 |
| Crowdguard: Federated backdoor detection in federated learning P Rieger, T Krauß, M Miettinen, A Dmitrienko, AR Sadeghi NDSS, 2024 | 19* | 2024 |
| AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms H Fereidooni, J König, P Rieger, M Chilese, B Gökbakan, M Finke, ... Network and Distributed System Security (NDSS) Symposium 2023, 2023 | 18 | 2023 |
| FedCRI: Federated Mobile Cyber-Risk Intelligence H Fereidooni, A Dmitrienko, P Rieger, M Miettinen, AR Sadeghi, ... Network and Distributed Systems Security (NDSS) Symposium, 2022 | 16 | 2022 |
| FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning H Li, P Rieger, S Zeitouni, S Picek, AR Sadeghi 2023 33rd International Conference on Field-Programmable Logic and …, 2023 | 10 | 2023 |
| FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning H Fereidooni, A Pegoraro, P Rieger, A Dmitrienko, AR Sadeghi arXiv preprint arXiv:2312.04432, 2023 | 9 | 2023 |
| FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks J Castillo, P Rieger, H Fereidooni, Q Chen, A Sadeghi Proceedings of the 39th Annual Computer Security Applications Conference …, 2023 | 9 | 2023 |
| BAFFLE: Towards resolving federated learning’s dilemma-thwarting backdoor and inference attacks TD Nguyen, P Rieger, H Yalame, H Möllering, H Fereidooni, S Marchal, ... | 1 | 2021 |
| SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning P Rieger, A Pegoraro, K Kumari, T Abera, J Knauer, AR Sadeghi arXiv preprint arXiv:2501.06650, 2025 | | 2025 |
| Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning J Knauer, P Rieger, H Fereidooni, AR Sadeghi Proceedings of the 2024 on ACM SIGSAC Conference on Computer and …, 2024 | | 2024 |
| LayerDBA: Circumventing Similarity-Based Defenses in Federated Learning J Nikolov, A Pegoraro, P Rieger, AR Sadeghi 2024 IEEE Security and Privacy Workshops (SPW), 299-305, 2024 | | 2024 |
| Don't Buy the Pig in a Poke: Benchmarking DNNs Inference Performance before Development C Völter, T Koppe, P Rieger | | 2024 |
| Advanced Attacks and Protection Mechanisms in IoT Devices and Networks L Batina, N Mentens, M Miettinen, N Mukhtar, T Duc Nguyen, ... Security and Privacy in the Internet of Things: Architectures, Techniques …, 2021 | | 2021 |
