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Related publications (74)
CookieGraph: Understanding and Detecting First-Party Tracking Cookies
Carmela González Troncoso, Sandra Deepthy Siby
As third-party cookie blocking is becoming the norm in mainstream web browsers, advertisers and trackers have started to use first-party cookies for tracking. To understand this phenomenon, we conduct a differential measurement study with versus without th ...
New York2023P3LI5: Practical and confidEntial Lawful Interception on the 5G core
Apostolos Pyrgelis, Francesco Intoci
Lawful Interception (LI) is a legal obligation of Communication Service Providers (CSPs) to provide interception capabilities to Law Enforcement Agencies (LEAs) in order to gain insightful data from network communications for criminal proceedings, e.g., ne ...
New York2023Protecting privacy through metadata analysis
Although encryption hides the content of communications from third parties, metadata, i.e., the information attached to the content (such as the size or timing of communication) can be a rich source of details and context. In this dissertation, we demonstr ...
EPFL2022Data Privacy Concerns as a Source of Resistance to Complete Mobile Data Collection Tasks Via a Smartphone App
Smartphones present many interesting opportunities for survey research, particularly through the use of mobile data collection applications (apps). There is still much to learn, however, about how to integrate apps in general population surveys. Recent stu ...
OXFORD UNIV PRESS INC2022Analysis of DP3T - Between Scylla and Charybdis
To help fighting the COVID-19 pandemic, the Pan-European Privacy-Preserving Proximity Tracing (PEPP-PT) project proposed a Decentralized Privacy-Preserving Proximity Tracing (DP3T) system. This helps tracking the spread of SARS-CoV-2 virus while keeping th ...
2020Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees
Boi Faltings, Aleksei Triastcyn
This paper considers the problem of enhancing user privacy in common machine learning development tasks, such as data annotation and inspection, by substituting the real data with samples form a generative adversarial network. We propose employing Bayesian ...
2020Measuring the Security of Website Fingerprinting Defences
Website fingerprinting (WF) attacks can compromise a user’s online privacy, by learning network traffic patterns generated by websites through machine learning (ML) techniques. Such attacks remain unaffected by encryption and even defeat anonymity services ...
2019Privacy-Enhancing Technologies for Mobile Applications and Services
Over a third of the world's population owns a smartphone. As generic computing devices that support a large and heterogeneous collection of mobile applications (apps), smartphones provide a plethora of functionalities and services to billions of users. B ...
EPFL2019Inpainting in Omnidirectional Images for Privacy Protection
Touradj Ebrahimi, Evgeniy Upenik, Pinar Akyazi
Privacy protection is drawing more attention with the advances in image processing, visual and social media. Photo sharing is a popular activity, which also brings the concern of regulating permissions associated with shared content. This paper presents a ...
2019Interdependent and Multi-Subject Privacy: Threats, Analysis and Protection
In Alan Westin's generally accepted definition of privacy, he describes it as an individual's right 'to control, edit, manage, and delete information about them[selves] and decide when, how, and to what extent information is communicated to others.' There ...
EPFL2019