698 résultats
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A non-comparison oblivious sort and its application to private k-NN
Orateur : Sofiane Azogagh - UQÀM
Sorting is a fundamental subroutine of many algorithms and as such has been studied for decades. A well-known result is the Lower Bound Theorem, which states that no comparison-based sorting algorithm can do better than O(nlog(n)) in the worst case. However, in the fifties, new sorting algorithms that do not rely on comparisons were introduced such as counting sort, which can run in linear time[…]-
Cryptography
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SoSysec
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Privacy
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Databases
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Secure storage
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La crypto-graphie et les crypto-monnaies
Orateur : Daniel Augot - INRIA Saclay—Île-de-France
De nos jours, la requête «crypto» dans un moteur de recherche renvoie aux cryptomonnaies. Mais «crypto means crypto», et on peut se poser la question des liens pertinents entre les deux domaines. D'un côté, le monde des cryptomonnaies et de la technologie sous-jacente s'est développé et évolue encore en dehors du monde académique. Il faut suivre d'un côté des posts de blog, des fils de discussion[…] -
Oblivious Transfer from Zero-Knowledge Proofs (or how to achieve round-optimal quantum Oblivious Transfer without structure)
Orateur : Léo Colisson - Université Grenoble Alpes
We provide a generic construction to turn any classical Zero-Knowledge (ZK) protocol into a composable oblivious transfer (OT) protocol (the protocol itself involving quantum interactions), mostly lifting the round-complexity properties and security guarantees (plain-model/statistical security/unstructured functions…) of the ZK protocol to the resulting OT protocol. Such a construction is unlikely[…]-
Cryptography
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Cryptanalytical extraction of complex Neural Networks in black-box settings
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
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Side-channel
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Machine learning
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Anomalies Mitigation for Horizontal Side Channel Attacks with Unsupervised Neural Networks
Orateur : 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
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Side-channel
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Machine learning
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Empower New Code Citizens to Reflect and Communicate on Code Security
Orateur : Manuel Maarek - Heriot-Watt University
Creating secure software code requires software engineers to elicit and follow the security requirements of the system they are building. Software engineer teams might not have the security expertise to approach this angle of software development confidently. With the democratisation of access to software development and deployment, software are often built by developers with neither software[…]