435 citations · 796 across the 18 of their papers we have counts for
6 papers · 1 filter
New data poison attacks on machine learning classifiers for mobile exfiltration
Miguel A. Ramirez, Sangyoung Yoon, Ernesto Damiani +7
Most recent studies have shown several vulnerabilities to attacks with the potential to jeopardize the integrity of the model, opening in a few recent years a new window of opportu…
A Late Multi-Modal Fusion Model for Detecting Hybrid Spam E-mail
Zhibo Zhang, Ernesto Damiani, Hussam Al Hamadi +2
In recent years, spammers are now trying to obfuscate their intents by introducing hybrid spam e-mail combining both image and text parts, which is more challenging to detect in co…
Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network
Zhibo Zhang, Ernesto Damiani, Hussam Al Hamadi +2
Image spam threat detection has continually been a popular area of research with the internet's phenomenal expansion. This research presents an explainable framework for detecting…
On the Robustness of Random Forest Against Untargeted Data Poisoning: An Ensemble-Based Approach
Marco Anisetti, Claudio A. Ardagna, Alessandro Balestrucci +3
Machine learning is becoming ubiquitous. From finance to medicine, machine learning models are boosting decision-making processes and even outperforming humans in some tasks. This…
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
Zhibo Zhang, Hussam Al Hamadi, Ernesto Damiani +2
This survey presents a comprehensive review of current literature on Explainable Artificial Intelligence (XAI) methods for cyber security applications. Due to the rapid development…
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey
Miguel A. Ramirez, Song-Kyoo Kim, Hussam Al Hamadi +5
Machine learning models have been widely adopted in several fields. However, most recent studies have shown several vulnerabilities from attacks with a potential to jeopardize the…