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New software vulnerabilities are published daily.Prioritizing vulnerabilities according to their relevance to the collection of software an organization uses is a costly and slow process.While recommender systems were earlier proposed to address this issue, they ignore the security of the vulnerability prioritization data.As a result, a malicious operator or a third party adversary can collect vul
INTRODUCTION: Non-native linguistic tone learning ability has been found to be influenced by the anatomy of primary auditory regions in the left hemisphere (Wong et al., 2008). In native speakers, however, where phonemic categories are firmly established, variations in the macrostructure of more secondary auditory processing areas might be expected to affect performance. The present study investig
Purpose: Although basic objective measures (e.g., knee laxity, strength, and hop tests) have been related to subjective measures of function, associations between knee-specific objective and subjective measures have yet to be completed. The objective was to determine if knee joint contact and ligament forces differ between pre- and post-anterior cruciate ligament (ACL) reconstructed states and if
As the effects of climate change, political upheaval and ravaging war are palpable, apocalyptic images as well as the concept ‘apocalyptic’ are today regularly invoked in politics, popular culture and mass media. This essay ponders the potential dangers of the apocalyptic imaginary, especially its tendency to encourage idealization of one’s own community and demonization of the other. As carriers
This article is the concluding essay of the Western and Northern Europe volume of Edinburgh University Press's series on Global Christianity.
Recent years have witnessed great interest in mass-participation running events (Hindley, 2020), and organisations such as parkrun and fitness programmes like Couch to 5K, have been instrumental in enabling participation for inexperienced runners. Concomitant with this has been a number of fictional works which centre on the 5K run. I contend that exploring fictional texts can offer a fresh take o
SNOW 3G is a stream cipher used as one of the standard algorithms for data confidentiality and integrity protection over the air interface in the 3G and 4G mobile communication systems. SNOW-V is a recent new version that was proposed as a candidate for inclusion in the 5G standard. In this paper, we propose a faster variant of SNOW-V, called SNOW-Vi, that can reach the targeted speeds for 5G in a
Cryptosystems based on the learning with errors (LWE) problem are assigned a security level that relates to the cost of generic algorithms for solving the LWE problem. This includes at least the so-called primal and dual lattice attacks. In this paper, we present an improvement of the dual lattice attack using an idea that can be traced back to work by Bleichenbacher. We present an improved distin
In this paper, we show that a software implementation of CCA secure Saber KEM protected by first-order masking and shuffling can be broken by deep learning-based power analysis. Using an ensemble of deep neural networks created at the profiling stage, we can recover the session key and the long-term secret key from 257xN and 24x257xN traces, respectively, where N is the number of repetitions of th
Many computer vision applications require robust estimation of the underlying geometry, in terms of camera motion and 3D structure of the scene. These robust methods often rely on running minimal solvers in a RANSAC framework. In this paper we show how we can make polynomial solvers based on the action matrix method faster, by careful selection of the monomial bases. These monomial bases have trad
To estimate the 6-DoF extrinsic pose of a pinhole camera with partially unknown intrinsic parameters is a critical sub-problem in structure-from-motion and camera localization. In most of existing camera pose estimation solvers, the principal point is assumed to be in the image center. Unfortunately, this assumption is not always true, especially for asymmetrically cropped images. In this paper, w
This paper introduces the first minimal solvers that jointly solve for affine-rectification and radial lens distortion from coplanar repeated patterns. Even with imagery from moderately distorted lenses, plane rectification using the pinhole camera model is inaccurate or invalid. The proposed solvers incorporate lens distortion into the camera model and extend accurate rectification to wide-angle
The problem of graph matching under node and pairwise constraints is fundamental in areas as diverse as combinatorial optimization, machine learning or computer vision, where representing both the relations between nodes and their neighborhood structure is essential. We present an end-to-end model that makes it possible to learn all parameters of the graph matching process, including the unary and
