- T. Favale, M. Trevisan, I. Drago and M. Mellia, α-MON: Traffic Anonymizer for Passive Monitoring, IEEE Transactions on Network and Service Management, 2021
- Nicolas Kourtellis, Kleomenis Katevas and Diego Perino, FLaaS: Federated Learning as a Service, Distributed Machine Learning (DistributedML'20), 2020
- Marzia Maffei, Machine Learning for automatic assessment of the risk related to web tracking, Master Thesis, 2020
- Federico Torta, Personal Data Safe: a flexible storage system for personal data, Master Thesis, 2020
- Srdjan Matic (Technische Universität Berlin); Costas Iordanou (Cyprus University of Technology); Georgios Smaragdakis (TU Berlin);, Over 150 million websites among a billion tested include sensitive (and tracked) content, ACM Internet Measurement Conference, 2020
- Valentino Rizzo, Stefano Traverso, Marco Mellia, Unveiling Web Fingerprinting in the Wild Via Code Mining and Machine Learning, Proceedings on Privacy Enhancing Technologies, 2020
- Trevisan Martino, Soro Francesca, Mellia Marco, Drago Idilio, Morla Ricardo, Does domain name encryption increase users' privacy?, ACM SIGCOMM Computer Communication Review, 2020
- Pushkal Agarwal, Sagar Joglekar, Panagiotis Papadopoulos, Nishanth Sastry,and Nicolas Kourtellis, Stop tracking me Bro! Differential Tracking of User Demographics on Hyper-Partisan Websites, WWW '20: Proceedings of The Web Conference 2020, 2020
- Luca Vassio, Michele Garetto, Carla Chiasserini, Emilio Leonardi, User Interaction with Online Advertisements: Temporal Modeling and Optimization of Ads Placement, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 2020
- Nikolaos Laoutaris, Why Online Services Should Pay You for Your Data? The Arguments for a Human-Centric Data Economy, IEEE Internet Computing, 2019
- Konstantinos Solomos; Panagiotis Ilia; Sotiris Ioannidis; Nicolas Kourtellis, Clash of the Trackers: Measuring the Evolution of the Online Tracking Ecosystem, TMA CONFERENCE 2020, 2020
