A survey and experimental evaluation of image spam filtering techniques

94 citations recorded by the source corpus.

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Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning (2017, background): “In 2005, spammers invented a new trick to evade textual-based analysis, referred to as image-based spam (or image spam, for short) [54, 55].”
Security Evaluation of Support Vector Machines in Adversarial Environments (2014, neutral): “, [10]).”
Pattern Recognition Systems under Attack: Design Issues and Research Challenges (2014, unknown): “During 2005, spammers devised image-based spam (or image spam) [13, 4], i.”
Identifying Security Evaluation of PatternClassifiers Under attack (2015, methodology): “In particular, we build upon elements of the models of [4, 5, 36, 38, 40, 42], which were used in defining our framework for security evaluation [12].”
A Survey on Machine Learning Techniques for Cyber Security in the Last Decade (2020, background): “Authors in [338] applied various pattern recognition and computer vision techniques to detect image-based spam.”
Pattern Recognition Systems under Attack (2013, background): “A recent example of arms race in pattern recognition is the so-called imagebased spam (or image spam, for short) [5,1].”