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In the recent years, deep learning methods have emerged as a powerful machine learning method for many fields. Deep learning methods are different from all traditional approaches. They automatically l...
Quantum computers are largely hypothetical devices that could perform some calculations much more rapidly than conventional computers can. Instead of the bits of classical computation, which can repre...
We propose a novel, sound, and complete Simplex-based algorithm for solving linear inequalities over integers. Our algorithm, which can be viewed as a semantic generalization of the branch-and-bound t...
One of the main challenges in leakage-resilient cryptography is to ob-tain proofs of security against side-channel attacks, under realistic assumptions and for efficient constructions. In a recent wor...
Timing attacks are usually used to attack weak computing devices such as smartcards. We show that timing attacks apply to general software systems. Specifically, we devise a timing attack against Open...
The popularity of empirical methods in software engineering research is on the rise. Surveys, experiments, metrics, case studies, and field studies are examples of empirical methods used to investigat...
Signal Quality Monitoring (SQM) algorithms propose to detect anomalous GPS signal distortions primarily through the use of multicorrelator SQM receivers. However, currently no augmentation systems (e....
The importance of the human subject (and subjectivity) with its inherent capacity for intuition as a foundational concept for Information Systems is explored in this paper. The paper considers two phi...
Organizations need practical security benchmarking tools in order to plan effective security strategies. This paper explores a number of techniques that can be used to measure security within an organ...

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