M. Conti, Jiaxin Li, S. Picek, J. Xu (2022), Label-Only Membership Inference Attack against \\Node-Level Graph Neural Networks, In AISec 2022 - Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2022 p.1–12, Association for Computing Machinery (ACM).

P. L.S. Jayalaxmi, Rahul Saha, Gulshan Kumar, Mauro Conti, Tai Hoon Kim (2022), Machine and Deep Learning Solutions for Intrusion Detection and Prevention in IoTs: A Survey, In IEEE Access Volume 10 p.121173-121192.

Alessandro Brighente, Mauro Conti, Harsha Vasudev (2022), MeLSeC: A Method for Lightweight and Secure Communication in Internet of Vehicles, Giancarlo Fortino, Raffaele Gravina, Antonio Guerrieri, Claudio Savaglio (Eds.), In Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022, Institute of Electrical and Electronics Engineers (IEEE).

Milad Taleby Ahvanooey, Mark Xuefang Zhu, Wojciech Mazurczyk, Kim Kwang Raymond Choo, Mauro Conti, Jing Zhang (2022), Misinformation Detection on Social Media: Challenges and the Road Ahead, In IT Professional Volume 24 p.34-40.

Meng Li, Jianbo Gao, Liehuang Zhu, Zijian Zhang, Chhagan Lal, Mauro Conti, Mamoun Alazab (2022), Mnemosyne: Privacy-Preserving Ride Matching With Collusion-Resistant Driver Exclusion, In IEEE Transactions on Vehicular Technology Volume 72 p.5139-5151.

Milad Taleby Ahvanooey, Mark Xuefang Zhu, Qianmu Li, Wojciech Mazurczyk, Kim Kwang Raymond Choo, Brij B. Gupta, Mauro Conti (2022), Modern Authentication Schemes in Smartphones and IoT Devices: An Empirical Survey, In IEEE Internet of Things Journal Volume 9 p.7639-7663.

Meng Li, Yifei Chen, Chhagan Lal, Mauro Conti, Fabio Martinelli, Mamoun Alazab (2022), Nereus: Anonymous and Secure Ride-Hailing Service based on Private Smart Contracts, In IEEE Transactions on Dependable and Secure Computing Volume 20 p.2849-2866.

Mauro Conti, P. Vinod, Alessio Vitella (2022), Obfuscation detection in Android applications using deep learning, In Journal of Information Security and Applications Volume 70.

Fabio Aiolli, Mauro Conti, Stjepan Picek, Mirko Polato (2022), On the feasibility of crawling-based attacks against recommender systems, In Journal of Computer Security Volume 30 p.599-621.

Irene Amerini, Mauro Conti, Pietro Giacomazzi, Luca Pajola (2022), PRaNA: PRNU-based Technique to Tell Real and Deepfake Videos Apart, In 2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE).