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10 résultats

    • Séminaire

    • Cryptographie

    Post-quantum Group-based Cryptography

    • 20 décembre 2024 (13:45 - 14:45)

    • IRMAR - Université de Rennes - Campus Beaulieu Bat. 22, RDC, Rennes - Amphi Lebesgue

    Orateur : Delaram Kahrobaei - The City University of New York

    • Séminaire

    • SemSecuElec

    Hardware Trojan Horses and Microarchitectural Side-Channel Attacks: Detection and Mitigation via Hardware-based
    Methodologies

    • 24 janvier 2025 (10:00 - 11:00)

    • Inria Center of the University of Rennes - Espace de conférences

    Orateur : Alessandro PALUMBO - CentraleSupélec, IRISA, Inria

    Hardware Trojan Horses that are software-exploitable can be inserted into microprocessors, allowing attackers to run unauthorized code or escalate privileges. Additionally, it has been demonstrated that attackers could observe certain microprocessor features - seemingly unrelated to the program's execution - to exfiltrate secrets or private data. So, even devices produced in secure foundries could[…]

    • SemSecuElec

    • Canaux auxiliaires

    • Vulnérabilités micro-architecturales

    • Cheval de Troie matériel

    • Séminaire

    • SemSecuElec

    Covert Communication Channels Based On Hardware Trojans: Open-Source Dataset and AI-Based Detection

    • 28 février 2025 (10:00 - 11:00)

    • Inria Center of the University of Rennes - Espace de conférences

    Orateur : Alan Díaz Rizo - Sorbonne Université Lip6

    The threat of Hardware Trojan-based Covert Channels (HT-CCs) presents a significant challenge to the security of wireless communications. In this work, we generate in hardware and make open-source a dataset for various HT-CC scenarios. The dataset represents transmissions from a HT-infected RF transceiver hiding a CC that leaks information. It encompasses a wide range of signal impairments, noise[…]

    • SemSecuElec

    • Apprentissage machine

    • Cheval de Troie matériel

    • Séminaire

    • SemSecuElec

    Cryptanalytical extraction of complex Neural Networks in black-box settings

    • 28 mars 2025 (10:00 - 11:00)

    • Inria Center of the University of Rennes - Espace de conférences

    Orateur : Benoit COQUERET - INRIA, Thales CESTI

    With the widespread development of artifical intelligence, Deep Neural Networks (DNN) have become valuable intellectual property (IP). In the past few years, software and hardware-based attacks targetting at the weights of the DNN have been introduced allowing potential attacker to gain access to a near-perfect copy of the victim's model. However, these attacks either fail against more complex[…]

    • SemSecuElec

    • Canaux auxiliaires

    • Apprentissage machine

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