Results 11 to 20 of about 16,159,804 (248)

Random Probing Security with Precomputation [PDF]

open access: yesTransactions on Cryptographic Hardware and Embedded Systems
At Eurocrypt 2014, Duc, Dziembowski and Faust proposed the random probing model to bridge the gap between the probing model proposed at Crypto 2003 and the noisy model proposed at Eurocrypt 2013.
Bohan Wang   +3 more
doaj   +4 more sources

Random Probing Security: Verification, Composition, Expansion and New Constructions [PDF]

open access: yesLecture Notes in Computer Science, 2020
International audienceThe masking countermeasure is among the most powerful countermeasures to counteract side-channel attacks. Leakage models have been exhibited to theoretically reason on the security of such masked implementations.
Emmanuel Prouff   +2 more
exaly   +4 more sources

Towards Tight Random Probing Security [PDF]

open access: yesLecture Notes in Computer Science, 2021
Proving the security of masked implementations in theoretical models that are relevant to practice and match the best known attacks of the side-channel literature is a notoriously hard problem.
Gaëtan Cassiers   +2 more
exaly   +2 more sources

An Algebraic Approach for Evaluating Random Probing Security With Application to AES

open access: yesTransactions on Cryptographic Hardware and Embedded Systems
We employ an algebraic approach to estimate the success rate of a sidechannel adversary attacking secrets of a masked circuit within the Random Probing Model (RPM), where intermediate variables of the implementation leak with a probability p. Our method
Vahid Jahandideh   +2 more
doaj   +3 more sources

New Techniques for Random Probing Security and Application to Raccoon Signature Scheme [PDF]

open access: yesLecture Notes in Computer Science
The random probing model formalizes a leakage scenario where each wire in a circuit leaks with probability $p$. This model holds practical relevance due to its reduction to the noisy leakage model, which is widely regarded as the appropriate ...
Matthieu Rivain   +2 more
exaly   +2 more sources

Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA

open access: yesFindings of the Association for Computational Linguistics: ACL 2025
Large Multimodal Models (LMMs) have shown remarkable progress in medical Visual Question Answering (Med-VQA), achieving high accuracy on existing benchmarks. However, their reliability under robust evaluation is questionable. This study reveals that when subjected to simple probing evaluation, state-of-the-art models perform worse than random guessing ...
Qianqi Yan   +3 more
openaire   +5 more sources

Masked Circuit Compiler in the Cardinal Random Probing Composability Framework [PDF]

open access: yesLecture Notes in Computer Science
Designing practically secure masked circuits remains a central problem in the field of cryptographic implementation. While most masking schemes have been proven secure in the classical probing model, this model fails to capture more advanced side-channel
Matthieu Rivain, Sonia Belaid
exaly   +1 more source

INDIANA - Verifying (Random) Probing Security Through Indistinguishability Analysis [PDF]

open access: yesLecture Notes in Computer Science
While masking is a widely used defense against passive side-channel attacks, its secure implementation in hardware continues to be a manual, complex, and error-prone process.
Anna Guinet   +2 more
exaly   +2 more sources

Secure and Verified Cryptographic Implementations in the Random Probing Model

open access: yes, 2023
Implémentations cryptographiques sûres et vérifiées dans le modèle random probing La contre-mesure de masquage est l'une des contre-mesures les plus puissantes pour contrer les attaques side-channel. Des modèles de fuite ont été exposés pour raisonner théoriquement sur la sécurité de telles implémentations masquées.
Taleb, Abdul Rahman
openaire   +3 more sources

Resolution Analysis by Random Probing

open access: yesJournal of Geophysical Research: Solid Earth, 2015
We develop and apply methods for resolution analysis in tomography, based on stochastic probing of the Hessian or resolution operators. Key properties of our methods are (i) low algorithmic complexity and easy implementation, (ii) applicability to any ...
Tristan van Leeuwen, Andreas Fichtner
exaly   +1 more source

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