5 citations · 5 across the 4 of their papers we have counts for
4 papers
Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization
Xinhai Zou, Chang Zhao, Alireza Aghabagherloo +3
Gradient-based adversarial attacks remain a dominant threat to deep neural networks (DNNs), as they exploit gradient information to efficiently optimize adversarial perturbations.…
Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models
Alireza Aghabagherloo, Aydin Abadi, Sumanta Sarkar +2
The accuracy and robustness of machine learning models against adversarial attacks are significantly influenced by factors such as training data quality, model architecture, the tr…
Bitcoin under Volatile Block Rewards: How Mempool Statistics Can Influence Bitcoin Mining
Roozbeh Sarenche, Alireza Aghabagherloo, Svetla Nikova +1
The security of Bitcoin protocols is deeply dependent on the incentives provided to miners, which come from a combination of block rewards and transaction fees. As Bitcoin experien…
An Efficient Anonymous Authentication Scheme Using Registration List in VANETs
A. Aghabagherloo, J. Mohajeri, M. Salmasizadeh +1
Nowadays, Vehicular Ad hoc Networks (VANETs) are popularly known as they can reduce traffic and road accidents. These networks need several security requirements, such as anonymity…