Miettinen, Markus

DÏoT: A Federated Self-learning Anomaly Detection System for IoT

Nguyen, T. D., Marchal, S., Miettinen, M., Fereidooni, H., Asokan, N., & Sadeghi, A.-R. (2019) · 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 663

DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection

Rieger, P., Nguyen, T. D., Miettinen, M., & Sadeghi, A.-R. (2022) · Proceedings 2022 Network and Distributed System Security Symposium

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 202

Poisoning Attacks on Federated Learning-based IoT Intrusion Detection System

Nguyen, T. D., Rieger, P., Miettinen, M., & Sadeghi, A.-R. (2020) · Proceedings 2020 Workshop on Decentralized IoT Systems and Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 200

CrowdGuard: Federated Backdoor Detection in Federated Learning

Rieger, P., Krauß, T., Miettinen, M., Dmitrienko, A., & Sadeghi, A.-R. (2024) · Proceedings 2024 Network and Distributed System Security Symposium

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 36