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652 results

    • Seminar

    • Cryptography

    Euclidean lattice and PMNS: arithmetic, redundancy and equality test

    • January 31, 2025 (13:45 - 14:45)

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

    Speaker : Fangan Yssouf Dosso - Laboratoire SAS, École des Mines de Saint-Étienne

    The Polynomial Modular Number System (PMNS) is an integer number system that aims to speed up arithmetic operations modulo a prime number p. This system is defined by a tuple (p, n, g, r, E), where p, n, g and r are positive integers, and E is a polynomial with integer coefficients, having g as a root modulo p. Arithmetic operations in PMNS rely heavily on Euclidean lattices. Modular reduction in[…]
    • Seminar

    • Cryptography

    Post-quantum Group-based Cryptography

    • January 10, 2025 (13:45 - 14:45)

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

    Speaker : Delaram Kahrobaei - The City University of New York

    Group-based cryptography is a relatively new family in post-quantum cryptography, with high potential. I will give a general survey of the status of post-quantum group-based cryptography and present some recent results.In the second part of my talk, I speak about Post-quantum hash functions using special linear groups. This hash function is a generalization of Tillich-Zemor hash function as well[…]
    • 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 - - 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