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733 results
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Upcoming
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Conference
Inaugural event for the seminar on disinformation
A new community of expertise is emerging in Brittany region around the challenges of disinformation.The inaugural event on 4th September 2026 will mark the beginning of this collective initiative and launch the CREACH LABS seminar dedicated to foreign Information manipulation and interference, disinformation, and information Manipulation. -
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Seminar
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Cryptography
TBA
Speaker : Anmoal Porwal - Technical University of Munich
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Cryptography
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Asymmetric primitive
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Seminar
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SemSecuElec
Using High Level Profiling Data to Early Assess the Fault Tolerance of Complex Digital Components
Speaker : Luc NOIZETTE - Nuclétudes (filiale Ariane group)
This presentation outlines an innovative methodology for estimating the fault tolerance of complex components based on application profiling obtained using a high-level virtual platform. A derating factor, derived exclusively from profiling metrics (e.g., lifetime in memory and registers), is calibrated using a reliability dataset collected from a set of benchmarks. Applying it to test softwares[…]-
SemSecuElec
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Fault injection
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Seminar
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Cryptography
!!! Reporté !!! Encryption homomorphe sans bruit à l'aide de groupes
Speaker : Pierre Guillot - Ravel Technologies (dispo Université de Strasbourg, IRMA)
Je vais rappeler les travaux de Nuida et Ostrovski sur l'utilisation des groupes pour l'élaboration de schémas cryptographiques homomorphes. Je vais présenter nos travaux qui fournissent des encodages à la fois plus efficaces et plus généraux, et qui déterminent exactement quels groupes peuvent être utilisés. Puis je vais discuter GRAFHEN, un protocole qui utilise ces idées. Je dirai juste[…]-
Cryptography
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Seminar
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SoSysec
Towards More Secure Large Language Models
Speaker : Raouf Kerkouche - Inria Lille
Large Language Models (LLMs) have achieved considerable success and are now widely used across multiple domains, highlighting their transformative impact on both technology and society. However, this widespread adoption also exposes LLMs to numerous security threats that can alter model behavior or degrade overall performance. To mitigate these threats, most research has focused on alignment[…]-
Machine learning
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