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Publications associées (18)

Data-Driven Behaviour Estimation in Parametric Games

Anna Maria Maddux, Nicolò Pagan

A central question in multi-agent strategic games deals with learning the underlying utilities driving the agents' behaviour. Motivated by the increasing availability of large data-sets, we develop an unifying data-driven technique to estimate agents' util ...

Elsevier2023

Incentive Mechanism in the Sponsored Content Market With Network Effects

We propose an incentive mechanism for the sponsored content provider (CP) market in which the communication of users can be represented by a graph, and the private information of the users is assumed to have a continuous distribution function. The CP stipu ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Protecting privacy through metadata analysis

Sandra Deepthy Siby

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

Robust Real-Time Control of Power Grids in the Presence of Communication Network Non-Idealities

Mario Paolone, Jean-Yves Le Boudec, Lorenzo Enrique Reyes Chamorro, Wajeb Saab, Roman Rudnik

Deploying a power grid controller in the field makes it susceptible to message losses caused by the inherent uncertainties and non-idealities of communication networks, especially when the control action is taken at a sub-second time-scale. We consider a c ...

2018

Frequency capping in online advertising

We study the following online problem. There are n advertisers. Each advertiser has a total demand and a value for each supply unit. Supply units arrive one by one in an online fashion, and must be allocated to an agent immediately. Each unit is associated ...

Springer2014

Scalable Collaborative Bayesian Preference Learning

Matthias Seeger, Mohammad Emtiyaz Khan, Young Jun Ko

Learning about users’ utilities from preference, discrete choice or implicit feedback data is of integral importance in e-commerce, targeted advertising and web search. Due to the sparsity and diffuse nature of data, Bayesian approaches hold much promise, ...

2014

User Profiling Using Submitted Review Content

Boi Faltings, Claudiu-Cristian Musat

A computer-implemented method for generating a user profile of a user of an online platform, a computer-implemented method for providing a first user with targeted information and a computer-implemented method for providing a user of an online platform wit ...

2014

Buy-It-Now or Take-a-Chance: Price Discrimination Through Randomized Auctions

Laura Elisa Celis

Increasingly detailed consumer information makes sophisticated price discrimination possible. At fine levels of aggregation, demand may not obey standard regularity conditions. We propose a new randomized sales mechanism for such environments. Bidders can ...

Informs2014

Security, Privacy and Economics of Online Advertising

Nevena Vratonjic

Online advertising is at the core of today’s Web: it is the main business model, generating large annual revenues expressed in tens of billions of dollars that sponsor most of the online content and services. Online advertising consists of delivering marke ...

EPFL2013

The YouTube Lens: Crowdsourced Personality Impressions and Audiovisual Analysis of Vlogs

Daniel Gatica-Perez, Joan Isaac Biel Tres

Despite an increasing interest in understanding human perception in social media through the automatic analysis of users' personality, existing attempts have explored user profiles and text blog data only. We approach the study of personality impressions i ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Mining Conversational Social Video

Joan Isaac Biel Tres

The ubiquity of social media in our daily life, the intense user participation, and the explosion of multimedia content have generated an extraordinary interest from computer and social scientists to investigate the traces left by users to understand human ...

EPFL2013

Ad-blocking Games: Monetizing Online Content Under the Threat of Ad Avoidance

Jean-Pierre Hubaux, Nevena Vratonjic, Jens Grossklags

Much of the Internet economy relies on online advertising for monetizing digital content: Users are expected to accept the presence of online advertisements in exchange for content being free. However, online advertisements have become a serious problem fo ...

2012

Spam Fighting in Social Tagging Systems

Touradj Ebrahimi, Sasan Yazdani, Ivan Ivanov

Tagging in online social networks is very popular these days, as it facilitates search and retrieval of diverse resources available online. However, noisy and spam annotations often make it difficult to perform an efficient search. Users may make mistakes ...

Springer-Verlag2012

Security Games in Online Advertising: Can Ads Help Secure the Web?

Jean-Pierre Hubaux, Nevena Vratonjic

Some ISPs are trying to become part of the online advertising market. Such ISPs either: (i) cooperate with online advertising entities (e.g., ad networks) by providing users’ private information to achieve better ad targeting in exchange for a share of the ...

2010

Integrity of the Web Content: The Case of Online Advertising

Jean-Pierre Hubaux, Julien Freudiger, Nevena Vratonjic

Online advertising is a major source of revenues in the Internet. In this paper, we identify a number of vulnerabilities of current ad serving systems. We describe how an adversary can exploit these vulnerabilities to divert part of the ad revenue stream f ...

2010

Sponsored Search, Market Equilibria, and the Hungarian Method

Monika Henzinger, Paul David Dütting

Two-sided matching markets play a prominent role in economic theory. A prime example of such a market is the sponsored search market where n advertisers compete for the assignment of one of k sponsored search results, also known as "slots", for certain key ...

2010

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

Tracking the visual focus of attention for a varying number of wandering people

Daniel Gatica-Perez, Jean-Marc Odobez, Kevin Smith, Silèye Oumar Ba

In this article, we define and address the problem of finding the visual focus of attention for a varying number of wandering people (VFOA-W) -- determining where a person is looking when their movement is unconstrained. VFOA-W estimation is a new and impo ...

2008

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