Samuel Marchal
Samuel Marchal
Research Team Leader, VTT Technical Research Centre of Finland & Aalto University
Verified email at
Cited by
Cited by
Iot sentinel: Automated device-type identification for security enforcement in iot
M Miettinen, S Marchal, I Hafeez, N Asokan, AR Sadeghi, S Tarkoma
2017 IEEE 37th international conference on distributed computing systems …, 2017
DÏoT: A federated self-learning anomaly detection system for IoT
TD Nguyen, S Marchal, M Miettinen, H Fereidooni, N Asokan, AR Sadeghi
2019 IEEE 39th International conference on distributed computing systems …, 2019
PRADA: protecting against DNN model stealing attacks
M Juuti, S Szyller, S Marchal, N Asokan
2019 IEEE European Symposium on Security and Privacy (EuroS&P), 512-527, 2019
Audi: Toward autonomous iot device-type identification using periodic communication
S Marchal, M Miettinen, TD Nguyen, AR Sadeghi, N Asokan
IEEE Journal on Selected Areas in Communications 37 (6), 1402-1412, 2019
{FLAME}: Taming backdoors in federated learning
TD Nguyen, P Rieger, R De Viti, H Chen, BB Brandenburg, H Yalame, ...
31st USENIX Security Symposium (USENIX Security 22), 1415-1432, 2022
PhishStorm: Detecting Phishing with Streaming Analytics
S Marchal, J Francois, R State, T Engel
IEEE Transactions on Network and Service Management 11 (4), 458-471, 2014
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
Dawn: Dynamic adversarial watermarking of neural networks
S Szyller, BG Atli, S Marchal, N Asokan
Proceedings of the 29th ACM International Conference on Multimedia, 4417-4425, 2021
A big data architecture for large scale security monitoring
S Marchal, X Jiang, R State, T Engel
2014 IEEE International Congress on Big Data, 56-63, 2014
Know your phish: Novel techniques for detecting phishing sites and their targets
S Marchal, K Saari, N Singh, N Asokan
2016 IEEE 36th International Conference on Distributed Computing Systems …, 2016
Off-the-hook: An efficient and usable client-side phishing prevention application
S Marchal, G Armano, T Gröndahl, K Saari, N Singh, N Asokan
IEEE Transactions on Computers 66 (10), 1717-1733, 2017
State, R.; Engel, T. PhishStorm: Detecting phishing with streaming analytics
S Marchal, J François
IEEE Trans. Netw. Serv. Manag 11 (4), 458-471, 2014
DÏoT: A self-learning system for detecting compromised IoT devices
TD Nguyen, S Marchal, M Miettinen, N Asokan, A Sadeghi
CoRR, vol. abs/1804.07474, 2018
Flguard: Secure and private federated learning
TD Nguyen, P Rieger, MH Yalame, H Möllering, H Fereidooni, S Marchal, ...
Crytography and Security, 2021
WAFFLE: Watermarking in federated learning
BGA Tekgul, Y Xia, S Marchal, N Asokan
2021 40th International Symposium on Reliable Distributed Systems (SRDS …, 2021
Proactive discovery of phishing related domain names
S Marchal, J François, R State, T Engel
Research in Attacks, Intrusions, and Defenses: 15th International Symposium …, 2012
A systematic review of artificial intelligence impact assessments
BC Stahl, J Antoniou, N Bhalla, L Brooks, P Jansen, B Lindqvist, ...
Artificial Intelligence Review 56 (11), 12799-12831, 2023
Extraction of complex dnn models: Real threat or boogeyman?
BG Atli, S Szyller, M Juuti, S Marchal, N Asokan
Engineering Dependable and Secure Machine Learning Systems: Third …, 2020
PhishScore: Hacking Phishers' Minds
S Marchal, J François, R State, T Engel
Proceedings of the 10th International Conference on Network and Service …, 2014
PrivICN: Privacy-preserving content retrieval in information-centric networking
C Bernardini, S Marchal, MR Asghar, B Crispo
Computer Networks 149, 13-28, 2019
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