A survey of image spamming and filtering techniques
By Abdolrahman Attar, Reza Moradi Rad, Reza Ebrahimi Atani. 2013
48 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, AI Ethics, Fairness & Society
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Battista Biggio
- Fabio Roli
- Giorgio Fumera
- Venkatesh Naik
- Shaik Mustafa
- Giorgio Giacinto
- V. Varadharajan
- Suhuai Luo
In Computer Vision and Pattern Recognition
- Battista Biggio
- Fabio Roli
- Giorgio Fumera
- Venkatesh Naik
- Shaik Mustafa
- V. Varadharajan
- Suhuai Luo
- Min Xu
In Information Systems
- Fabio Roli
- Battista Biggio
- Giorgio Fumera
- Venkatesh Naik
- Shaik Mustafa
- V. Varadharajan
- Blaine Nelson
- Giorgio Giacinto
In AI Ethics, Fairness & Society
Citations in the corpus
- 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].”
- 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].”
- A Survey on Machine Learning Techniques for Cyber Security in the Last Decade (2020, result): “Further similar studies can be found in [339]–[343].”
- 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, background): “Well known examples of attacks against pattern classifiers are: submitting a fake biometric trait to a biometric authentication system (spoofing attack) [1], [2]; Well known examples of attacks are: Spoofing attacks where one person or program purposely falsifying data and thereby gaining an illegit”