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633 results

    • Seminar

    • SemSecuElec

    I know what your compiler did: Optimization Effects on Power Side-Channel Leakage for RISC-V

    • January 24, 2025 (11:00 - 12:00)

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

    Speaker : Ileana Buhan - Radboud University Nijmegen

    With the growing prevalence of software-based cryptographic implementations in high-level languages, understanding the role of architectural and micro-architectural components in side-channel security is critical. The role of compilers in case of software implementations towards contribution to side-channel leaks is not investigated. While timing-based side-channel leakage due to compiler effects[…]
    • SemSecuElec

    • Side-channel

    • Seminar

    • SemSecuElec

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

    • January 24, 2025 (10:00 - 11:00)

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

    Speaker : 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

    • Side-channel

    • Micro-architectural vulnerabilities

    • Hardware trojan

    • Seminar

    • SemSecuElec

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

    • February 28, 2025 (10:00 - 11:00)

    • Inria Center of the University of Rennes - - IRISA - Salle Aurigny (D165)

    Speaker : 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

    • Machine learning

    • Hardware trojan

    • Seminar

    • SemSecuElec

    Cryptanalytical extraction of complex Neural Networks in black-box settings

    • May 23, 2025 (11:00 - 12:00)

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

    Speaker : 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

    • Side-channel

    • Machine learning

    • Seminar

    • SemSecuElec

    The influence of flicker noise on ring oscillator-based TRNGs

    • December 20, 2024 (11:00 - 12:00)

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

    Speaker : Licinius-Pompiliu BENEA - Univ. Grenoble Alpes, CEA, LETI

    Ring oscillators (ROs) are often used in true random number generators (TRNGs). The jitter of their clock signal, used as a source of randomness, stems from thermal and flicker noises. While thermal noise jitter is often identified as the main source of randomness, flicker noise jitter is not taken into account due to its autocorrelated nature which greatly complexifies modelling. However, it is a[…]
    • SemSecuElec

    • TRNG

    • Seminar

    • SoSysec

    Un protocole SMPC de curation de données d'entrainement et sa fragilité aux hypothèses de sécurité...

    • December 06, 2024 (11:00 - 12:00)

    • Inria Center of the University of Rennes - Métiviers room

    Speaker : Marc-Olivier Killijian - Université du Québec à Montréal

    ... ou "Sécurité et insécurité - dans quel état j’erre, ai-je bien rangé mon modèle de sécurité ?" De nos jours, les sources de données, et leurs curateurs, sont répartis à travers le monde. Il arrive que les propriétaires de ces données souhaitent collaborer entre eux afin d’augmenter la qualité de ces données, particulièrement avant d’entrainer des modèles d’apprentissage machine.Dans cet exposé[…]
    • SoSysec

    • Privacy

    • Machine learning

    • Distributed systems