Mural image restoration involves repairing damaged sections of murals to attain desirable visual outcomes. In recent years, the development of mural restoration algorithms has emerged as a key area of interest, driven...
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The unprotected implementations of Kyber and Dilithium have recently been shown to offer a variety of side-channel attack paths. These attacks have in turn triggered the investigation of secure and efficient masked im...
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ISBN:
(纸本)9783031643804;9783031643811
The unprotected implementations of Kyber and Dilithium have recently been shown to offer a variety of side-channel attack paths. These attacks have in turn triggered the investigation of secure and efficient masked implementations. In this paper, we observe that the design and evaluation of such masked implementations come with new challenges, due to the manipulation of small and non-uniform secrets that is common in post-quantum encryption algorithms, which may hinder their good understanding. On the one hand, we show that using the Signal-to-Noise Ratio (SNR) per share to select Points-of-Interest (POIs) in leakage traces, as it is common in symmetric cryptography, can lead to confusing outcomes where leakage samples that correspond to the manipulation of another share than the targeted one are detected. On the other hand, we show that the arithmetic encoding of small and non-uniform secrets leads to representation-dependencies so that summing or subtracting shares leads to different amounts of information leakage. We apply these observations to Kyber and show that they essentially vanish when increasing the number of shares. Incidentally, we also discuss the attack strategies to recover small and non-uniform secrets with side-channel attacks efficiently. We hope these observations can help implementers and evaluators to better interpret their security claims.
Smart contracts are programs stored on the blockchain that are often developed in a high-level programming language, the most popular of which is Solidity. Smart contracts are used to automate financial transactions;t...
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The rapid advancement of Artificial Intelligence (AI) and Large Language Models (LLMs) has significantly transformed various sectors of society, compelling enterprises to undertake comprehensive digital transformation...
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Lung diseases cause millions of deaths per year worldwide. For medical diagnosis, different medical images are available, with computed tomography (CT) standing out as effective tools for pathology detection. Recently...
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The paper deals with the issue of autonomous navigation for the movement of a robot in a tube. The solution is to determine the center of a given conic section using three operations in the Geometric Algebra for Conic...
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ISBN:
(纸本)9783031312670;9783031312687
The paper deals with the issue of autonomous navigation for the movement of a robot in a tube. The solution is to determine the center of a given conic section using three operations in the Geometric Algebra for Conic Sections (GAC). The article describes an engine that renders given conic sections through basic operations in the GAC. At the end of the work, an algorithm is described that calculates the axis of the tube based on the points that are located in the space from the image, where we place the center of the ellipse obtained by the image filter and fitting algorithm.
Script identification of text in natural scene images is challenging due to complex backgrounds, arbitrary orientations, different-sized characters, varying fonts, and multiple styles. Most existing methods are not ef...
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The b-matching problem is an allocation problem where the vertices on the left-hand side of a bipartite graph, referred to as servers, may be matched multiple times. In the setting with stochastic rewards, an ass...
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Counterfactual explanations are valuable tools in Explainable AI (XAI) for understanding complex machine learning models. While successful in tabular and image data, existing optimization-based counterfactual methods ...
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The rapidly evolving biometric recognition technology has been widely applied in the detection and diagnosis of biological diseases. However, in the poultry domain, the scarcity of case information and the difficulty ...
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