Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/353467
Type: Artigo
Title: Connecting the dots : toward accountable machine-learning printer attribution methods
Author: Navarro, Luiz C.
Navarro, Alexandre K. W.
Rocha, Anderson
Dahab, Ricardo
Abstract: Digital forensics is rapidly evolving as a direct consequence of the adoption of machine-learning methods allied with ever-growing amounts of data. Despite the fact that these methods yield more consistent and accurate results, they may face adoption hind
Subject: Aprendizado de máquina
Análise forense de imagens digitais
Sistemas de reconhecimento de padrões
Inteligência artificial
Machine learning
Digital image forensics
Pattern recognition systems
Artificial intelligence
Country: Reino Unido
Editor: Elsevier
Rights: Fechado
Identifier DOI: doi.org/10.1016/j.jvcir.2018.04.002
Address: https://www.sciencedirect.com/science/article/pii/S1047320318300786
Date Issue: 2018
Appears in Collections:IC - Artigos e Outros Documentos

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