435 citations · 601 across the 16 of their papers we have counts for
16 papers
A Visualized Malware Detection Framework with CNN and Conditional GAN
Fang Wang, Hussam Al Hamadi, Ernesto Damiani
Malware visualization analysis incorporating with Machine Learning (ML) has been proven to be a promising solution for improving security defenses on different platforms. In this w…
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
Hani Sami, Ahmad Hammoud, Mouhamad Arafeh +14
The Metaverse offers a second world beyond reality, where boundaries are non-existent, and possibilities are endless through engagement and immersive experiences using the virtual…
Data Poisoning Attacks on EEG Signal-based Risk Assessment Systems
Zhibo Zhang, Sani Umar, Ahmed Y. Al Hammadi +3
Industrial insider risk assessment using electroencephalogram (EEG) signals has consistently attracted a lot of research attention. However, EEG signal-based risk assessment system…
Explainable Label-flipping Attacks on Human Emotion Assessment System
Zhibo Zhang, Ahmed Y. Al Hammadi, Ernesto Damiani +1
This paper's main goal is to provide an attacker's point of view on data poisoning assaults that use label-flipping during the training phase of systems that use electroencephalogr…
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals
Zhibo Zhang, Sani Umar, Ahmed Y. Al Hammadi +5
The major aim of this paper is to explain the data poisoning attacks using label-flipping during the training stage of the electroencephalogram (EEG) signal-based human emotion eva…
ModularFed: Leveraging Modularity in Federated Learning Frameworks
Mohamad Arafeh, Hadi Otrok, Hakima Ould-Slimane +3
Numerous research recently proposed integrating Federated Learning (FL) to address the privacy concerns of using machine learning in privacy-sensitive firms. However, the standards…
Reward Shaping Using Convolutional Neural Network
Hani Sami, Hadi Otrok, Jamal Bentahar +2
In this paper, we propose Value Iteration Network for Reward Shaping (VIN-RS), a potential-based reward shaping mechanism using Convolutional Neural Network (CNN). The proposed VIN…
Speaker Identification from emotional and noisy speech data using learned voice segregation and Speech VGG
Shibani Hamsa, Ismail Shahin, Youssef Iraqi +2
Speech signals are subjected to more acoustic interference and emotional factors than other signals. Noisy emotion-riddled speech data is a challenge for real-time speech processin…
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…
Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threats
Muhammed Shafay, Taimur Hassan, Ernesto Damiani +1
Detection of illegal and threatening items in baggage is one of the utmost security concern nowadays. Even for experienced security personnel, manual detection is a time-consuming…
Towards Federated Learning-Enabled Visible Light Communication in 6G Systems
Shimaa Naser, Lina Bariah, Sami Muhaidat +4
Visible light communication (VLC) technology was introduced as a key enabler for the next generation of wireless networks, mainly thanks to its simple and low-cost implementation.…