Abstract. Instruction Set Randomization (ISR) is a promising technique for preventing code-injection attacks. In this paper we present a complete randomization framework for JavaSc...
Elias Athanasopoulos, Antonis Krithinakis, Evangel...
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
This paper provides a fast and accurate randomization algorithm for valuing American puts and calls on dividend-paying stocks and their early exercise boundaries. The primal focus...
Over the past several years, US-CERT advisories, as well as most critical updates from software vendors, have been due to memory corruption vulnerabilities such as buffer overflo...
Security in multiagent systems is commonly defined as the ability of the system to deal with intentional threats from other agents. This paper focuses on domains where such intent...
Praveen Paruchuri, Milind Tambe, Fernando Ord&oacu...
In this paper we develop a variant of a previously proposed method the regenerative randomization method for the transient analysis of dependability performability models. The va...
We experimentally evaluate bagging and six other randomization-based approaches to creating an ensemble of decision-tree classifiers. Bagging uses randomization to create multipl...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
One of the most common forms of security attacks involves exploiting a vulnerability to inject malicious code into an executing application and then cause the injected code to be ...
Wei Hu, Jason Hiser, Daniel Williams, Adrian Filip...
In this paper, we study the privacy-preserving decision tree building problem on vertically partitioned data. We made two contributions. First, we propose a novel hybrid approach, ...