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Data Poisoning: Lightweight Soft Fault Injection for Python

2016/11/04 by Mohammad Amin Alipour, Alex Groce, Alipour, Mohammad Amin +1
Computer Science · #Software Testing and Debugging Techniques #Parallel Computing and Optimization Techniques #Advanced Malware Detection Techniques

paper · pdf · doi:10.48550/arxiv.1611.01501

Abstract

This paper introduces and explores the idea of data poisoning, a light-weight peer-architecture technique to inject faults into Python programs. This method requires very small modification to the original program, which facilitates evaluation of sensitivity of systems that are prototyped or modeled in Python. We propose different fault scenarios that can be injected to programs using data poisoning. We use Dijkstra's Self Stabilizing Ring Algorithm to illustrate the approach.

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