Asokan, N.

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

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PRADA: Protecting Against DNN Model Stealing Attacks

Juuti, M., Szyller, S., Marchal, S., & Asokan, N. (2019) · 2019 IEEE European Symposium on Security and Privacy (EuroS&P)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 440

C-FLAT: Control-Flow Attestation for Embedded Systems Software

Abera, T., Asokan, N., Davi, L., Ekberg, J.-E., Nyman, T., Paverd, A., Sadeghi, A.-R., & Tsudik, G. (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security

Security and Verification in ComputingCryptographic Implementations and Security

Cited by 258

Is this app safe?: a large scale study on application permissions and risk signals

Chia, P. H., Yamamoto, Y., & Asokan, N. (2012) · Proceedings of the 21st international conference on World Wide Web

Privacy, Security, and Data ProtectionAccess Control and Trust

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The Untapped Potential of Trusted Execution Environments on Mobile Devices

Ekberg, J.-E., Kostiainen, K., & Asokan, N. (2014) · IEEE Security & Privacy

Security and Verification in ComputingDigital Rights Management and Security

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