Adversarial attacks and defenses in explainable artificial intelligence: A survey
H Baniecki, P Biecek - Information Fusion, 2024 - Elsevier
Explainable artificial intelligence (XAI) methods are portrayed as a remedy for debugging
and trusting statistical and deep learning models, as well as interpreting their predictions …
and trusting statistical and deep learning models, as well as interpreting their predictions …
A review of machine learning approaches to spam filtering
TS Guzella, WM Caminhas - Expert Systems with Applications, 2009 - Elsevier
In this paper, we present a comprehensive review of recent developments in the application
of machine learning algorithms to Spam filtering, focusing on both textual-and image-based …
of machine learning algorithms to Spam filtering, focusing on both textual-and image-based …
Wild patterns: Ten years after the rise of adversarial machine learning
Deep neural networks and machine-learning algorithms are pervasively used in several
applications, ranging from computer vision to computer security. In most of these …
applications, ranging from computer vision to computer security. In most of these …
Combating adversarial misspellings with robust word recognition
To combat adversarial spelling mistakes, we propose placing a word recognition model in
front of the downstream classifier. Our word recognition models build upon the RNN semi …
front of the downstream classifier. Our word recognition models build upon the RNN semi …
ICDAR 2013 robust reading competition
This report presents the final results of the ICDAR 2013 Robust Reading Competition. The
competition is structured in three Challenges addressing text extraction in different …
competition is structured in three Challenges addressing text extraction in different …
A survey of learning-based techniques of email spam filtering
E Blanzieri, A Bryl - Artificial Intelligence Review, 2008 - Springer
Email spam is one of the major problems of the today's Internet, bringing financial damage to
companies and annoying individual users. Among the approaches developed to stop spam …
companies and annoying individual users. Among the approaches developed to stop spam …
Email spam filtering: A systematic review
GV Cormack - Foundations and Trends® in Information …, 2008 - nowpublishers.com
Spam is information crafted to be delivered to a large number of recipients, in spite of their
wishes. A spam filter is an automated tool to recognize spam so as to prevent its delivery …
wishes. A spam filter is an automated tool to recognize spam so as to prevent its delivery …
New filtering approaches for phishing email
A Bergholz, J De Beer, S Glahn… - Journal of computer …, 2010 - content.iospress.com
Phishing emails usually contain a message from a credible looking source requesting a user
to click a link to a website where she/he is asked to enter a password or other confidential …
to click a link to a website where she/he is asked to enter a password or other confidential …
The history of digital spam
E Ferrara - Communications of the ACM, 2019 - dl.acm.org
The history of digital spam Page 1 82 COMMUNICATIONS OF THE ACM | AUGUST 2019 |
VOL. 62 | NO. 8 review articles SPAM! THAT’S WHAT Lorrie Faith Cranor and Brian …
VOL. 62 | NO. 8 review articles SPAM! THAT’S WHAT Lorrie Faith Cranor and Brian …
An efficient deep learning-based scheme for web spam detection in IoT environment
From the last few years, Internet of Things has revolutionized the entire world. In this, various
smart objects perform the tasks of sensing and computing to provide uninterrupted services …
smart objects perform the tasks of sensing and computing to provide uninterrupted services …