Concept

Lutte anti-spam

Publications associées (38)

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Reconciling Schema Matching Networks Through Crowdsourcing

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Zoltán Miklós

Schema matching is the process of establishing correspondences between the attributes of database schemas for data integration purposes. Although several automatic schema matching tools have been developed, their results are often incomplete or erroneous. ...

2014

Anti-spoofing: Evaluation Methodologies

Sébastien Marcel, André Anjos, Ivana Chingovska

Following the definition of the task of the anti-spoofing systems to discriminate between real accesses and spoofing attacks, anti-spoofing can be regarded as a binary classification problem. The spoofing databases and the evaluation methodologies for anti ...

Springer US2014

On the Vulnerability of Finger Vein Recognition to Spoofing

Sébastien Marcel, Pedro Tomé

The vulnerability of finger vein recognition to spoofing is studied in this paper. A collection of spoofing finger vein images has been created from real finger vein samples. Finger vein images are printed using a commercial printer and then, presented at ...

2014

Geotag Propagation with User Trust Modeling

Touradj Ebrahimi, Jong Seok Lee, Ivan Ivanov, Péter Vajda

The amount of information that people share on social networks is constantly increasing. People also comment, annotate, and tag their own content (videos, photos, notes, etc.), as well as the content of others. In many cases, the content is tagged manually ...

Springer-Verlag2013

Anti-spoofing in action: joint operation with a verification system

Sébastien Marcel, André Anjos, Ivana Chingovska

Besides the recognition task, today's biometric systems need to cope with additional problem: spoofing attacks. Up to date, academic research considers spoofing as a binary classification problem: systems are trained to discriminate between real accesses a ...

2013

Anti-spoofing in action: joint operation with a verification system

Sébastien Marcel, André Anjos, Ivana Chingovska

Idiap2013

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

Optinal Source-Based Filtering of Malicious Traffic

In this paper, we consider the problem of blocking malicious traffic on the Internet via source-based filtering. In particular, we consider filtering via access control lists (ACLs): These are already available at the routers today, but are a scarce resour ...

2012

Collaborative learning of mixture models using diffusion adaptation

Ali H. Sayed

In large ad-hoc networks, classification tasks such as spam filtering, multi-camera surveillance, and advertising have been traditionally implemented in a centralized manner by means of fusion centers. These centers receive and process the information that ...

IEEE2011

Signaling and Reciprocity

Wojciech Galuba

Complex networks exist for a number of purposes. The neural, metabolic and food networks ensure our survival, while the social, economic, transportation and communication networks allow us to prosper. Independently of the purposes and particularities of th ...

EPFL2011