25 citations · 25 across the 5 of their papers we have counts for
6 papers
Ransomware Detection Using Federated Learning with Imbalanced Datasets
Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani +5
Ransomware is a type of malware which encrypts user data and extorts payments in return for the decryption keys. This cyberthreat is one of the most serious challenges facing organ…
Federated Learning Approach for Distributed Ransomware Analysis
Aldin Vehabovic, Hadi Zanddizari, Farook Shaikh +4
Researchers have proposed a wide range of ransomware detection and analysis schemes. However, most of these efforts have focused on older families targeting Windows 7/8 systems. He…
Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution
Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani +4
Researchers have proposed a wide range of ransomware detection and analysis schemes. However, most of these efforts have focused on older families targeting Windows 7/8 systems. He…
Towards Implementing Energy-aware Data-driven Intelligence for Smart Health Applications on Mobile Platforms
G. Dumindu Samaraweera, Hung Nguyen, Hadi Zanddizari +2
Recent breakthrough technological progressions of powerful mobile computing resources such as low-cost mobile GPUs along with cutting-edge, open-source software architectures have…
Privacy Assured Recovery of Compressively Sensed ECG signals
Hadi Zanddizari, Sreeraman Rajan, Hassan Rabah +1
Cloud computing for storing data and running complex algorithms have been steadily increasing. As connected IoT devices such as wearable ECG recorders generally have less storage a…
Generating Black-Box Adversarial Examples in Sparse Domain
Hadi Zanddizari, Behnam Zeinali, J. Morris Chang
Applications of machine learning (ML) models and convolutional neural networks (CNNs) have been rapidly increased. Although state-of-the-art CNNs provide high accuracy in many appl…