| 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 | 884 | 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 | 735 | 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 | 524 | 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 | 280 | 2022 |
| 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 | 244 | 2019 |
| 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 | 221 | 2021 |
| 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 | 200 | 2014 |
| 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 | 195 | 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 | 166 | 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 | 162 | 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 | 116 | 2017 |
| 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 | 104 | 2023 |
| State, R.; Engel, T. PhishStorm: Detecting phishing with streaming analytics S Marchal, J François IEEE Trans. Netw. Serv. Manag 11 (4), 458-471, 2014 | 101 | 2014 |
| WAFFLE: Watermarking in federated learning BGA Tekgul, Y Xia, S Marchal, N Asokan 2021 40th International Symposium on Reliable Distributed Systems (SRDS …, 2021 | 88* | 2021 |
| 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 | 85 | 2018 |
| Flguard: Secure and private federated learning TD Nguyen, P Rieger, MH Yalame, H Möllering, H Fereidooni, S Marchal, ... Crytography and Security, 2021 | 82 | 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 | 65 | 2012 |
| 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 | 46 | 2020 |
| PhishScore: Hacking Phishers' Minds S Marchal, J François, R State, T Engel Proceedings of the 10th International Conference on Network and Service …, 2014 | 38 | 2014 |
| PrivICN: Privacy-preserving content retrieval in information-centric networking C Bernardini, S Marchal, MR Asghar, B Crispo Computer Networks 149, 13-28, 2019 | 37 | 2019 |
N. AsokanProfessor of Computer Science, University of WaterlooEmail verificata su uwaterloo.ca
