Samuel Marchal
Samuel Marchal
Aalto University / WithSecure Corporation
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Zitiert von
Zitiert von
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
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
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
State, R., Engel, T.: A big data architecture for large scale security monitoring
S Marchal, X Jiang
2014 IEEE International Congress on Big Data 10, 2014
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
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
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
DÏoT: a self-learning system for detecting compromised IoT devices
TD Nguyen, S Marchal, M Miettinen, N Asokan, A Sadeghi
CoRR, 1-12, 2018
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
Proactive discovery of phishing related domain names
S Marchal, J François, T Engel
International Workshop on Recent Advances in Intrusion Detection, 190-209, 2012
PhishScore: Hacking Phishers' Minds
S Marchal, J François, R State, T Engel
Proceedings of the 10th International Conference on Network and Service …, 2014
DNSSM: A large scale passive DNS security monitoring framework
S Marchal, J François, C Wagner, R State, A Dulaunoy, T Engel, O Festor
2012 IEEE Network Operations and Management Symposium, 988-993, 2012
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
On designing and evaluating phishing webpage detection techniques for the real world
S Marchal, N Asokan
11th USENIX Workshop on Cyber Security Experimentation and Test (CSET 18), 2018
PrivICN: Privacy-preserving content retrieval in information-centric networking
C Bernardini, S Marchal, MR Asghar, B Crispo
Computer Networks 149, 13-28, 2019
Flguard: Secure and private federated learning
TD Nguyen, P Rieger, H Yalame, H Möllering, H Fereidooni, S Marchal, ...
arXiv preprint arXiv:2101.02281, 2021
Extraction of complex dnn models: Real threat or boogeyman?
BG Atli, S Szyller, M Juuti, S Marchal, N Asokan
International Workshop on Engineering Dependable and Secure Machine Learning …, 2020
Advanced interest flooding attacks in named-data networking
S Signorello, S Marchal, J Francois, O Festor, R State
2017 IEEE 16th International Symposium on Network Computing and Applications …, 2017
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