[J3] The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems.
G. Apruzzese, L. Pajola, M. Conti.
IEEE Transactions on Network and Service Management. 2022.
[J2] DETONAR: Detection of Routing Attacks in RPL-based IoT.
A. Agiollo, M. Conti, P. Kaliyar, T. Lin, L Pajola.
(IEEE) Transactions on Network and Service Management, in press, 2021.
[J1] Targeted Next-Generation Sequencing Identification of Mutations in Disease Resistance Gene Analogs (RGAs) in Wild and Cultivated Beets.
P. Stevanato, C. Broccanello, L. Pajola, F. Biscarini, C. Richards, L. Panella, M. Hassani, E. Formentin, C. Chiodi, G. Concheri, B. Heidari.
Jenes 2017, 8(10), 264.
[C2] Fall of Giants: How popular text-based MLaaS fall against a simple adversarial attack.
L. Pajola, M. Conti.
In Proceedings of the 6th IEEE European Symposium on Security and Privacy (IEEE EuroS&P 2021)
[C1] Looking through walls: Inferring Scenes from Video-Surveillance Encrypted Traffic.
D. Mari, S. G. Piazzetta, S. Bordin, L. Pajola, S. Verde, S. Milani, M. Conti.
In Proceedings of the 46th IEEE International Conference on Acoustic, Speech and Signal Processing (IEEE ICASSP 2021),
[W2] Threat is in the Air: Machine Learning for Wireless Network Applications.
L. Pajola, L. Pasa, M. Conti.
WiseML '19: Proceedings of the ACM Workshop on Wireless Security and Machine Learning.
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[W1] All You Need is "Love": Evading Hate Speech Detection.
T. Gröndahl, L. Pajola, M. Juuti, M. Conti, N. Asokan.
AISec '18: Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security.