activity
20202024
most citedASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Towards a graph-based foundation model for network traffic analysis

Louis Van Langendonck, Ismael Castell-Uroz, Pere Barlet-Ros

Foundation models have shown great promise in various fields of study. A potential application of such models is in computer network traffic analysis, where these models can grasp…

cs.LG2024

PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Security

Louis Van Langendonck, Ismael Castell-Uroz, Pere Barlet-Ros

Recent works have demonstrated the potential of Graph Neural Networks (GNN) for network intrusion detection. Despite their advantages, a significant gap persists between real-world…

cs.CR2024

A first look into Utiq: Next-generation cookies at the ISP level

Ismael Castell-Uroz, Pere Barlet-Ros

Online privacy has become increasingly important in recent years. While third-party cookies have been widely used for years, they have also been criticized for their potential impa…

cs.NI2023★ 1 cited

ASTrack: Automatic Detection and Removal of Web Tracking Code with Minimal Functionality Loss

Ismael Castell-Uroz, Kensuke Fukuda, Pere Barlet-Ros

Recent advances in web technologies make it more difficult than ever to detect and block web tracking systems. In this work, we propose ASTrack, a novel approach to web tracking de…

cs.NI2020

Demystifying content-blockers: A large scale study of actual performance gains

Ismael Castell-Uroz, Josep Solé-Pareta, Pere Barlet-Ros

With the evolution of the online advertisement and tracking ecosystem, content-filtering has become the reference tool for improving the security, privacy and browsing experience w…