Samuel Marchal

Research Fellow
Research Fellow
T313 Dept. Computer Science
Full researcher profile
[email protected]


Web security, Network security, Machine learning, Intrusion detection


IEEE ICDCS 2017 Best Poster/Demo Award

IEEE ICDCS 2017 Best Poster/Demo Award
Award or honor granted for a specific work Department of Computer Science Jun 2017


  • Professorship Aura Tuomas, Research Fellow


Robust Aggregation Technique Against Poisoning Attacks in Multi-Stage Federated Learning Applications

Yushan Siriwardhana, Pawani Porambage, Madhusanka Liyanage, Samuel Marchal, Mika Ylianttila 2024 2024 IEEE 21st Consumer Communications and Networking Conference, CCNC 2024

A systematic review of artificial intelligence impact assessments

Bernd Carsten Stahl, Josephina Antoniou, Nitika Bhalla, Laurence Brooks, Philip Jansen, Blerta Lindqvist, Alexey Kirichenko, Samuel Marchal, Rowena Rodrigues, Nicole Santiago, Zuzanna Warso, David Wright 2023 Artificial Intelligence Review

Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses

Buse Atli Tekgul, Shelly Wang, Samuel Marchal, N. Asokan 2022 Computer Security – ESORICS 2022 - 27th European Symposium on Research in Computer Security, Proceedings

FLAME: Taming Backdoors in Federated Learning

Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad Reza Sadeghi, Thomas Schneider 2022 Proceedings of the 31st USENIX Security Symposium, Security 2022

Lux: Enabling Ephemeral Authorization for Display-Limited IoT Devices

Logan Blue, Samuel Marchal, Patrick Traynor, N. Asokan 2021 IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation

Access Control for Implantable Medical Devices

Carmen Camara, Pedro Peris-Lopez, Jose Maria De Fuentes, Samuel Marchal 2021 IEEE Transactions on Emerging Topics in Computing

SAFELearn: Secure Aggregation for private FEderated Learning

Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Helen Mollering, Thien Duc Nguyen, Phillip Rieger, Ahmad Reza Sadeghi, Thomas Schneider, Hossein Yalame, Shaza Zeitouni 2021 Proceedings - 2021 IEEE Symposium on Security and Privacy Workshops, SPW 2021


Sebastian Szyller, Buse Gul Atli, Samuel Marchal, N. Asokan 2021 Proceedings of the 29th ACM International Conference on Multimedia, MM 2021

WAFFLE: Watermarking in Federated Learning

Buse G. A. Tekgul, Yuxi Xia, Samuel Marchal, N. Asokan 2021 Proceedings of 40th International Symposium on Reliable Distributed Systems, SRDS 2021

Extraction of Complex DNN Models: Real Threat or Boogeyman?

Buse Gul Atli, Sebastian Szyller, Mika Juuti, Samuel Marchal, N. Asokan 2020 Engineering Dependable and Secure Machine Learning Systems