<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Security | Professional website of Sébastien Marcel</title><link>https://www.idiap.ch/~marcel/tags/security/</link><atom:link href="https://www.idiap.ch/~marcel/tags/security/index.xml" rel="self" type="application/rss+xml"/><description>Security</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Jan 2024 00:00:00 +0000</lastBuildDate><image><url>https://www.idiap.ch/~marcel/media/icon_hu_903cac8985788c1d.png</url><title>Security</title><link>https://www.idiap.ch/~marcel/tags/security/</link></image><item><title>Vulnerability of State-of-the-Art Face Recognition Models to Template Inversion Attack</title><link>https://www.idiap.ch/~marcel/publications/2024/ti-fr_tifs-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://www.idiap.ch/~marcel/publications/2024/ti-fr_tifs-2024/</guid><description/></item><item><title>BATL</title><link>https://www.idiap.ch/~marcel/project/former/batl/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://www.idiap.ch/~marcel/project/former/batl/</guid><description>&lt;p&gt;BATL contributed to biometric anti-spoofing research in the context of the
&lt;strong&gt;IARPA ODIN program&lt;/strong&gt;, which aimed to strengthen biometric systems against
known and unknown presentation attacks.&lt;/p&gt;
&lt;p&gt;Within this line of work, research focused on robust face presentation-attack
detection, anomaly detection, multi-channel sensing, and the creation of
challenging datasets and protocols for evaluating spoof resilience. At Idiap,
this effort is closely associated with work on multi-channel face anti-spoofing
and datasets such as HQ-WMCA, supporting reproducible research on secure
biometric acquisition.&lt;/p&gt;</description></item><item><title>TABULA RASA</title><link>https://www.idiap.ch/~marcel/project/former/tabula-rasa/</link><pubDate>Fri, 01 Jan 2010 00:00:00 +0000</pubDate><guid>https://www.idiap.ch/~marcel/project/former/tabula-rasa/</guid><description>&lt;p&gt;TABULA RASA was a major European research project dedicated to understanding and mitigating spoofing attacks against biometric systems.&lt;/p&gt;
&lt;p&gt;The project investigated the vulnerability of biometric modalities such as face and fingerprint to direct attacks and developed methods to detect and counter such threats. It played an important role in shaping the modern field of presentation-attack detection and helped establish anti-spoofing as a core topic in trustworthy biometrics.&lt;/p&gt;
&lt;p&gt;This project remains a key milestone in the evolution of biometric security research and in the translation of anti-spoofing knowledge to practical evaluation settings.&lt;/p&gt;</description></item></channel></rss>