Publications associées à CookieGraph: Understanding and Detecting First-Party Tracking Cookies

Protecting 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 ...

EPFL2022

WEBGRAPH: Capturing Advertising and Tracking Information Flows for Robust Blocking

Sandra Deepthy Siby, Carmela González Troncoso

Users rely on ad and tracker blocking tools to protect their privacy. Unfortunately, existing ad and tracker blocking tools are susceptible to mutable advertising and tracking content. In this paper, we first demonstrate that a state-of-the-art ad and trac ...

USENIX ASSOC2022

Privacy in Recommender Systems

Mahsa Taziki

The upsurge in the number of web users over the last two decades has resulted in a significant growth of online information. Recommenders are machine learning approach and are becoming one of the main ways to navigate the Internet. They recommend appropria ...

EPFL2018

D2P: Distance-Based Differential Privacy in Recommenders

Rachid Guerraoui, Anne-Marie Kermarrec, Rhicheek Patra, Mahsa Taziki

The upsurge in the number of web users over the last two decades has resulted in a significant growth of online information. This information growth calls for recommenders that personalize the in- formation proposed to each individual user. Nevertheless, p ...

Assoc Computing Machinery2015

Optimization Based Control for Target Estimation and Tracking via Highly Observable Trajectories An Application to Motion Control of Autonomous Robotic Vehicles

Colin Neil Jones, Andrea Alessandretti, António Pedro Rodrigues de Aguiar

This paper proposes a Model Predictive Control (MPC) scheme to solve the target estimation and tracking problem. The objective is to derive a feedback law that drives an autonomous robotic vehicle to follow a target vehicle using an on-line estimate of the ...

Springer-Verlag Berlin2015

B-hist: Entity-centric search over personal web browsing history

Philippe Cudré-Mauroux, Karl Aberer, Michele Catasta, Jean-Eudes Marie Ranvier

Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web br ...

Elsevier2014

Optimization based control for target estimation and tracking via highly observable trajectories

Colin Neil Jones, Andrea Alessandretti, António Pedro Rodrigues de Aguiar

This paper presents a Model Predictive Control (MPC) scheme to solve the target estimation and tracking problem. The objective is to derive a feedback law that drives a follower vehicle to a target vehicle using on-line estimation of the target position an ...

2014

AngeLA: Putting the Teacher in Control of Student Privacy in the Online Classroom

Denis Gillet, Andrii Vozniuk, Sten Govaerts

Learning analytics (LA) is often considered as a means to improve learning and learning environments by measuring student behaviour, analysing the tracked data and acting upon the results. The use of LA tools implies recording and processing of student act ...

2014

Towards Privacy-Friendly Online Advertising

Jean-Pierre Hubaux, Julien Freudiger, Nevena Vratonjic

Modern web sites commonly interact with third-party domains to integrate advertisements and generate revenue from them. To improve the relevance of advertisement, online advertisers track user activities online with third- party cookies. However, excessive ...

2009

Multi-view video segmentation and tracking for video surveillance

Touradj Ebrahimi, Frédéric Dufaux, Thien Ha Minh, Gelareh Mohammadi

Tracking moving objects is a critical step for smart video surveillance systems. Despite the complexity increase, multiple camera systems exhibit the undoubted advantages of covering wide areas and handling the occurrence of occlusions by exploiting the di ...

2009

Mix-Zones for Location Privacy in Vehicular Networks

Jean-Pierre Hubaux, Julien Freudiger, Mark Felegyhazi, Maxime Raya, Panagiotis Papadimitratos

Vehicular Networks (VNs) seek to provide, among other applications, safer driving conditions. To do so, vehicles need to periodically broadcast safety messages providing precise position information to nearby vehicles. However, this frequent messaging (e.g ...

2007