Going incognito in the metaverse: Achieving theoretically optimal privacy-usability tradeoffs in VR

VC Nair, G Munilla-Garrido, D Song - Proceedings of the 36th Annual …, 2023 - dl.acm.org
Virtual reality (VR) telepresence applications and the so-called “metaverse” promise to be
the next major medium of human-computer interaction. However, with recent studies …

Going incognito in the metaverse

V Nair, GM Garrido, D Song - arXiv preprint arXiv:2208.05604, 2022 - arxiv.org
Virtual reality (VR) telepresence applications and the so-called" metaverse" promise to be
the next major medium of interaction with the internet. However, with numerous recent …

Towards a systematic multi-modal representation learning for network data

ZB Houidi, R Azorin, M Gallo, A Finamore… - Proceedings of the 21st …, 2022 - dl.acm.org
Learning the right representations from complex input data is the key ability of successful
machine learning (ML) models. The latter are often tailored to a specific data modality. For …

Cross-network Embeddings Transfer for Traffic Analysis

L Gioacchini, M Mellia, L Vassio, I Drago… - … on Network and …, 2023 - ieeexplore.ieee.org
Artificial Intelligence (AI) approaches have emerged as powerful tools to improve traffic
analysis for network monitoring and management. However, the lack of large labeled …

Digital Advertising in a Post-Cookie World: Charting the Impact of Google's Topics API

J Romero, Á Cuevas, R Cuevas - arXiv preprint arXiv:2409.14073, 2024 - arxiv.org
Integrating Google's Topics API into the digital advertising ecosystem represents a
significant shift toward privacy-conscious advertising practices. This article analyses the …

Prediphant: Short Term Heavy User Prediction

D Sanvito, G Siracusano, R Gonzalez… - … , Networks and Digital …, 2022 - ieeexplore.ieee.org
Traffic prediction is of paramount importance for the correct management of network
infrastructures. Most research efforts try to forecast the aggregated traffic over the network …

Traffic representations for network measurements

R Azorin - 2024 - theses.hal.science
Measurements are essential to operate and manage computer networks, as they are critical
to analyze performance and establish diagnosis. In particular, per-flow monitoring consists …

TorSH: Obfuscating consumer Internet-of-Things traffic with a collaborative smart-home router network

A Vandenbussche - 2022 - digitalcommons.dartmouth.edu
When consumers install Internet-connected" smart devices" in their homes, metadata arising
from the communications between these devices and their cloud-based service providers …

[PDF][PDF] Deliverable D4. 2 Initial report on elastic MEC platform design and data-driven orchestration and automation

LB CTTC, K Kontodimas, E Varvarigos, JV IQU… - 2021 - marsalproject.eu
This initial report on the elastic MEC platform design and data-driven orchestration and
automation describes the current status of the different building blocks upon which the …