1. T. Favale, M. Trevisan, I. Drago and M. Mellia, α-MON: Traffic Anonymizer for Passive Monitoring, IEEE Transactions on Network and Service Management, 2021
  2. Nicolas Kourtellis, Kleomenis Katevas and Diego Perino, FLaaS: Federated Learning as a Service, Distributed Machine Learning (DistributedML'20), 2020
  3. Marzia Maffei, Machine Learning for automatic assessment of the risk related to web tracking, Master Thesis, 2020
  4. Federico Torta, Personal Data Safe: a flexible storage system for personal data, Master Thesis, 2020
  5. 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
  6. Valentino Rizzo, Stefano Traverso, Marco Mellia, Unveiling Web Fingerprinting in the Wild Via Code Mining and Machine Learning, Proceedings on Privacy Enhancing Technologies, 2020
  7. Trevisan Martino, Soro Francesca, Mellia Marco, Drago Idilio, Morla Ricardo, Does domain name encryption increase users' privacy?, ACM SIGCOMM Computer Communication Review, 2020
  8. 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
  9. 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
  10. Nikolaos Laoutaris, Why Online Services Should Pay You for Your Data? The Arguments for a Human-Centric Data Economy, IEEE Internet Computing, 2019
  11. Konstantinos Solomos; Panagiotis Ilia; Sotiris Ioannidis; Nicolas Kourtellis, Clash of the Trackers: Measuring the Evolution of the Online Tracking Ecosystem, TMA CONFERENCE 2020, 2020