Despite the fact that all current scientific white-box approaches of standardized cryptographic primitives have been publicly broken, these attacks require knowledge of the internal data representation used by the implementation. In practice, the level of implementation knowledge required is only attainable through significant reverse engineering efforts. In this paper we describe new approache...

The T box and S box transcription termination control systems are widely used for control of gene expression in Gram-positive bacteria, but are rare in Gram-negative organisms. Both of these systems can be recognized in genomic data because of high conservation of primary sequence and structural elements. The T box system regulates a variety of amino acid-related genes, while the S box system i...

Beim Testen kommt der Wahl der Testfälle eine entscheidende Bedeutung zu, denn mit der Festlegung der Testfälle wird über die Chancen zur Fehlerentdeckung entschieden. Viele Untersuchungen gehen der Frage nach, ob beim Black-Box-Test oder beim Glass-Box-Test effektivere Testfälle entstehen. Heute ist sich die Literatur weitgehend einig, dass die beiden Testverfahren keine Alternativen bilden, s...

Box jumps are often included in training programs as an introductory exercise to novice athletes and untrained individuals efficient option of lower-body explosiveness training. However, it is unclear whether the use boxes differing heights affect inter-limb asymmetry during this exercise. The purpose study investigate effect box height jumps. Recreationally active young males (n = 14) females ...

We consider a class of “box-like” statistically self-affine functions, and compute the almost-sure box-counting dimension their graphs. Furthermore, we differentiability our prove that, depending on an explicitly computable functional model, they are almost surely either differentiable everywhere or non-differentiable everywhere.

Through the addition of humanly imperceptible noise to an image classified as belonging a category ca, targeted adversarial attacks can lead convolutional neural networks (CNNs) classify modified any predefined target class ct≠ca. To achieve better understanding inner workings attacks, this study analyzes images created by two completely opposite against 10 ImageNet-trained CNNs. A total 2×437 ...