Sommaire

Inscription obligatoire  à chaque exposé au moins 48heures à l'avance  pour tous les participants en présentiel.

Présentation du séminaire

  • Information systems and networks have become indispensable aids in our everyday lives. In addition to highly visible uses as mobile phones or personal computers, it is worth mentioning applications more subtle but equally important for economic activity such as cloud computing, industrial control systems, electrical networks. In fact, our society nurtures a growing dependence towards information systems which makes economic and sovereignty issues related to security increasingly important.

    At the same time, due to their increasing complexity, their ubiquity, and multiplicity of risks associated with malicious or fraudulent use, ensuring an acceptable level of security seems close to impossible. Many questions related to the control of the security of softwares and information systems are thus at the origin of an intense scientific activity. We can cite for example intrusion detection, vulnerability research, proof of protocols, static analysis, virtualization…

    From the interaction of all these themes, emerges a deep scientific domain that forms a point of contact between fundamental research and applications with a strong economic potential. Rennes metropolitan area is home to many talents in this field of research, both in academia and industry. This seminar aims to become a natural platform to gather, stimulate and promote Rennes security research and development community by confronting it to the best achievements of international research.

  • Le comité de programme est en charge de l'organisation et de la programmation scientifique du séminaire.
     

    • Tristan Allard (Université de Rennes)
    • Guillaume Doyen (IMT Atlantique)
    • Teddy Furon (Inria)
    • Guillaume Hiet (CentraleSupélec)
    • Joseph Lallemand (CNRS)
    • David Lubicz (DGA-MI)
    • Louis Rilling (DGA-MI)
    • Mohamed Sabt (Université de Rennes)
    • Sandrine Turgis (Université de Rennes)

     

Infos pratiques

Prochains exposés

  • Towards privacy-preserving and fairness-aware federated learning framework

    • 19 septembre 2025 (11:00 - 12:00)

    • Inria Center of the University of Rennes - Petri/Turing room

    Orateur : Nesrine Kaaniche - Télécom SudParis

    Federated Learning (FL) enables the distributed training of a model across multiple data owners under the orchestration of a central server responsible for aggregating the models generated by the different clients. However, the original approach of FL has significant shortcomings related to privacy and fairness requirements. Specifically, the observation of the model updates may lead to privacy[…]

    • Cryptography

    • SoSysec

    • Privacy

    • Machine learning

  • NEAT: A Nile-English Aligned Translation Corpus based on a Robust Methodology for Intent Based Networking and Security

    • 26 septembre 2025 (11:00 - 12:00)

    • Inria Center of the University of Rennes - Room Métivier

    Orateur : Pierre Alain - IUT de Lannion

    The rise of Intent Based Networking (IBN) has paved the way for more efficient network and security management, reduced errors, and accelerated deployment times by leveraging AI processes capable of translating natural language intents into policies or configurations. Specialized neural networks could offer a promising solution at the core of translation operations. Still, they require dedicated,[…]

    • SoSysec

    • Network

    • Security policies

  • Black-Box Collision Attacks on Widely Deployed Perceptual Hash Functions and Their Consequences

    • 03 octobre 2025 (11:00 - 12:00)

    • Inria Center of the University of Rennes - Métivier room

    Orateur : Diane Leblanc-Albarel - KU Leuven

    Perceptual hash functions identify multimedia content by mapping similar inputs to similar outputs. They are widely used for detecting copyright violations and illegal content but lack transparency, as their design details are typically kept secret. Governments are considering extending the application of these functions to Client-Side Scanning (CSS) for end-to-end encrypted services: multimedia[…]

    • Cryptography

    • SoSysec

  • Malware Detection with AI Systems: bridging the gap between industry and academia

    • 09 octobre 2025 (11:00)

    • Inria Center of the University of Rennes - Room Aurigny

    Orateur : Luca Demetrio - University of Genova

    With the abundance of programs developed everyday, it is possible to develop next-generation antivirus programs that leverage this vast accumulated knowledge. In practice, these technologies are developed with a mixture of established techniques like pattern matching, and machine learning algorithms, both tailored to achieve high detection rate and low false alarms. While companies state the[…]

    • SoSysec

    • Intrusion detection

    • Machine learning

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