69 citations · 82 across the 3 of their papers we have counts for
4 papers
DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering
Mohsen Ahmadi, Ali Taghavirashidizadeh, Danial Javaheri +3
Machine learning models based on sensitive data in the real-world promise advances in areas ranging from medical screening to disease outbreaks, agriculture, industry, defense scie…
SN4KE: Practical Mutation Testing at Binary Level
Mohsen Ahmadi, Pantea Kiaei, Navid Emamdoost
Mutation analysis is an effective technique to evaluate a test suite adequacy in terms of revealing unforeseen bugs in software. Traditional source- or IR-level mutation analysis i…
MIMOSA: Reducing Malware Analysis Overhead with Coverings
Mohsen Ahmadi, Kevin Leach, Ryan Dougherty +2
There is a growing body of malware samples that evade automated analysis and detection tools. Malware may measure fingerprints ("artifacts") of the underlying analysis tool or envi…
Rewrite to Reinforce: Rewriting the Binary to Apply Countermeasures against Fault Injection
Pantea Kiaei, Cees-Bart Breunesse, Mohsen Ahmadi +2
Fault injection attacks can cause errors in software for malicious purposes. Oftentimes, vulnerable points of a program are detected after its development. It is therefore critical…