45 results

  • Cryptanalytical extraction of complex Neural Networks in black-box settings

    • May 23, 2025 (11:00 - 12:00)

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

    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

  • Anomalies Mitigation for Horizontal Side Channel Attacks with Unsupervised Neural Networks

    • May 23, 2025 (10:00 - 11:00)

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

    Speaker : Gauthier Cler - SERMA Safety & Security

    The success of horizontal side-channel attacks heavily depends on the quality of the traces as well as the correct extraction of interest areas, which are expected to contain relevant leakages. If former is insufficient, this will consequently degrade the identification capability of potential leakage candidates and often render attacks inapplicable. This work assess the relevance of neural[…]
    • SemSecuElec

    • Side-channel

    • Machine learning

  • PHOENIX : the first crypto-agile hardware solution for ML-KEM and HQC

    • April 25, 2025 (11:00 - 12:00)

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

    Speaker : Antonio RAS

    The security of the public-key cryptography protecting today and tomorrow's communication is threatened by the advent of quantum computers. To address this challenge, post-quantum cryptography is employed to devise new quantum-resistant cryptosystems. The National Institute of Standards and Technology (NIST), which led the quantum-safe transition, has already standardized the first lattice KEM[…]
    • Cryptography

    • SemSecuElec

    • Hardware accelerator

  • Advanced techniques for fault injection attacks on integrated circuits

    • April 25, 2025 (10:00 - 11:00)

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

    Speaker : Paul Grandamme - Laboratoire Hubert Curien, Université Jean Monnet

    The security of integrated circuits is evaluated through the implementation of attacks that exploit their inherent hardware vulnerabilities. Fault injection attacks represent a technique that is commonly employed for this purpose. These techniques permit an attacker to alter the nominal operation of the component in order to obtain confidential information. Firstly, we propose the utilisation of[…]
    • SemSecuElec

    • Fault injection

  • Measurement the thermal component of clock jitter used as entropy source by TRNGs

    • February 28, 2025 (11:00 - 12:00)

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

    Speaker : Arturo GARAY - STMicroelectronics

    Introduction Measuring the thermal component of clock jitter as an entropy source for True Random Number Generators (TRNGs) is compulsory for the security and evaluation of clock-jitter based TRNGs. However, identifying and isolating the local thermal noise component from other noise sources, particularly flicker noise, while performing a precise measurement remains a challenge. Current[…]
    • SemSecuElec

    • TRNG

  • 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