- José González-Cabañas, Ángel Cuevas, Rubén Cuevas, Martin Maier, Digital Contact Tracing: Large-Scale Geolocation Data as an Alternative to Bluetooth-Based Apps Failure, Electronics, 2021
- José González Cabañas, Ángel Cuevas, Aritz Arrate, Rubén Cuevas, Does Facebook use sensitive data for advertising purposes?, Communications of the ACM, 2020
- Antonio Pastor, Rubén Cuevas, Ángel Cuevas & Arturo Azocrra, Establishing Trust in Online Advertising With Signed Transactions, IEEE Acces (vol.9), 2020
- Agarwal Vibhor; Vekaria Yash; Agarwal Pushkal; Mahapatra Sangeeta; Set Shounak; Muthiah Sakthi Balan; Sastry Nishanth; Kourtellis Nicolas, Under the Spotlight: Web Tracking in Indian Partisan News Websites, Vol. 15 (2021): Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
- Emmanouil Papadogiannakis , Panagiotis Papadopoulos , Nicolas Kourtellis , Evangelos P. Markatos, User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users, WWW’2021, 2021
- Manolis Chalkiadakis, Alexandros Kornilakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis, The Rise and Fall of Fake News sites: A Traffic Analysis, Cornell University, 2021
- Yash Vekaria, Vibhor Agarwal, Pushkal Agarwal, Sangeeta Mahapatra, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis, Differential Tracking Across Topical Webpages of Indian News Media, Cornell University, 2021
- Thomas Favale, Martino Trevisan, Idilio Drago, Marco Mellia, α-MON: Anonymized Passive Traffic Monitoring, 2020 32nd International Teletraffic Congress (ITC 32), 2020
- Thomas Favale, Martino Trevisan, Idilio Drago and Marco Mellia, α-MON: Traffic Anonymizer for Passive Monitoring, IEEE Transactions on Network and Service Management, 2021
- Nikhil Jha, Thomas Favale, Luca Vassio, Martino Trevisan, Marco Mellia, z-anonymity: Zero-Delay Anonymization for Data Streams, 2020 IEEE International Conference on Big Data (Big Data), 2020
- Nicolas Kourtellis, Kleomenis Katevas and Diego Perino, FLaaS: Federated Learning as a Service, DistributedML'20: Proceedings of the 1st Workshop on Distributed Machine Learning, 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 Theses, 2020
- Benjamin Zi Hao Zhao, Mohamed Ali Kaafar, Nicolas Kourtellis, Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning, CCSW'20: Proceedings of the 2020 ACM SIGSAC Conference on Cloud Computing Security Workshop, 2020
- Jesús Romero Leguina, Ángel Cuevas Rumín, Rubén Cuevas Rumín, Digital Marketing Attribution: Understanding the User Path, Electronics, 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 IMC’20 - ACM Internet Measurement Conference 2020, 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
- Aritz Arrate, José González-Cabañas, Ángel Cuevas, Rubén Cuevas, Malvertising in Facebook: Analysis, Quantification and Solution, Electronics, 2020
- Trevisan Martino, Soro Francesca, Mellia Marco, Drago Idilio, Morla Ricardo, Does domain name encryption increase users' privacy?, ACM SIGCOMM Computer Communication Review, 2020
- Patricia Callejo, Ángel Cuevas, Rubén Cuevas, Mercedes Esteban-Bravo & Jose M. Vidal-Sanz, Tracking Fraudulent and Low-Quality Display Impressions, Journal of Advertising, 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, IW3C2 - International World Wide Web Conference Committe, 2020
- Luca Vassio, Michele Garetto, Carla Chiasserini, Emilio Leonardi, User Interaction with Online Advertisements: Temporal Modeling and Optimization of Ads Placement, Association for Computing Machinery, 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
