634 results
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[CANCELLED] Black-Box Collision Attacks on Widely Deployed Perceptual Hash Functions and Their Consequences
Speaker : Diane Leblanc-Albarel - KU Leuven
[CANCELLED] Perceptual hash functions identify multimedia content by mapping similar inputs to similar outputs. They are widely used for detecting copyright violations and illegal content but lack transparency, as their design details are typically kept secret. Governments are considering extending the application of these functions to Client-Side Scanning (CSS) for end-to-end encrypted services:[…]-
Cryptography
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SoSysec
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Protocols
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Oblivious Transfer from Zero-Knowledge Proofs (or how to achieve round-optimal quantum Oblivious Transfer without structure)
Speaker : 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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Soutenance de thèse : Cryptanalyse de schémas de cryptographie à clé publique (Cryptanalysis of public-key cryptosystems)
Speaker : Paul Kirchner - IRISA
Résumé : La cryptanalyse de schémas de cryptographie à clé publique repose sur un ensemble de techniques algorithmiques et algébriques en théorie des nombres. Dans une première partie de cette thèse, nous présentons des améliorations de l’algorithme LLL, dû à Lenstra, Lenstra et Lovasz pour réduire un réseau euclidien, c’est-à-dire réduire la norme et orthogonaliser le plus possible les vecteurs[…]-
Cryptography
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Cryptanalytical extraction of complex Neural Networks in black-box settings
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
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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
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
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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
Speaker : 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[…]