121 citations · 446 across the 27 of their papers we have counts for
10 papers · 1 filter
A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks
Chamara Sandeepa, Bartlomiej Siniarski, Nicolas Kourtellis +2
The upcoming Beyond 5G (B5G) and 6G networks are expected to provide enhanced capabilities such as ultra-high data rates, dense connectivity, and high scalability. It opens many po…
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case
Pantelitsa Leonidou, Nicolas Kourtellis, Nikos Salamanos +1
Users are daily exposed to a large volume of harmful content on various social network platforms. One solution is developing online moderation tools using Machine Learning techniqu…
The Hitchhiker's Guide to Facebook Web Tracking with Invisible Pixels and Click IDs
Paschalis Bekos, Panagiotis Papadopoulos, Evangelos P. Markatos +1
Over the past years, advertisement companies have used various tracking methods to persistently track users across the web. Such tracking methods usually include first and third-pa…
Hierarchical Federated Learning with Privacy
Varun Chandrasekaran, Suman Banerjee, Diego Perino +1
Federated learning (FL), where data remains at the federated clients, and where only gradient updates are shared with a central aggregator, was assumed to be private. Recent work d…
FLaaS: Cross-App On-device Federated Learning in Mobile Environments
Kleomenis Katevas, Diego Perino, Nicolas Kourtellis
Federated Learning (FL) has recently emerged as a popular solution to distributedly train a model on user devices improving user privacy and system scalability. Major Internet comp…
YouTubers Not madeForKids: Detecting Channels Sharing Inappropriate Videos Targeting Children
Myrsini Gkolemi, Panagiotis Papadopoulos, Evangelos P. Markatos +1
In the last years, hundreds of new Youtube channels have been creating and sharing videos targeting children, with themes related to animation, superhero movies, comics, etc. Unfor…