435 citations · 796 across the 18 of their papers we have counts for
18 papers
Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification
Zhibo Zhang, Pengfei Li, Ahmed Y. Al Hammadi +3
This paper presents a reputation-based threat mitigation framework that defends potential security threats in electroencephalogram (EEG) signal classification during model aggregat…
A Robust Adversary Detection-Deactivation Method for Metaverse-oriented Collaborative Deep Learning
Pengfei Li, Zhibo Zhang, Ameena S. Al-Sumaiti +2
Metaverse is trending to create a digital circumstance that can transfer the real world to an online platform supported by large quantities of real-time interactions. Pre-trained A…
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…
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…