Samaneh Mahdavifar

According to our database, Samaneh Mahdavifar authored at least 13 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Comprehensive Analysis of Explainable AI for Malware Hunting.

Mohd Saqib, Samaneh Mahdavifar, Benjamin C. M. Fung, Philippe Charland

ACM Comput. Surv., December, 2024

CapsRule: Explainable Deep Learning for Classifying Network Attacks.

Samaneh Mahdavifar, Ali A. Ghorbani

IEEE Trans. Neural Networks Learn. Syst., September, 2024

VulEXplaineR: XAI for Vulnerability Detection on Assembly Code.

Samaneh Mahdavifar, Mohd Saqib, Benjamin C. M. Fung, Philippe Charland, Andrew Walenstein

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

2022

Personalized Privacy-Preserving Publication of Trajectory Data by Generalization and Distortion of Moving Points.

Samaneh Mahdavifar, Fatemeh Deldar, Hassan Mahdikhani

J. Netw. Syst. Manag., 2022

Effective and Efficient Hybrid Android Malware Classification Using Pseudo-Label Stacked Auto-Encoder.

Samaneh Mahdavifar, Dima Alhadidi, Ali A. Ghorbani

J. Netw. Syst. Manag., 2022

An entity matching-based image topic verification framework for online fact-checking.

Xichen Zhang, Sajjad Dadkhah, Samaneh Mahdavifar, Rongxing Lu, Ali A. Ghorbani

Int. J. Multim. Intell. Secur., 2022

2021

Lightweight Hybrid Detection of Data Exfiltration using DNS based on Machine Learning.

Samaneh Mahdavifar, Amgad Hanafy Salem, Princy Victor, Amir H. Razavi, Miguel Garzón, Natasha Hellberg, Arash Habibi Lashkari

Proceedings of the ICCNS 2021: The 11th International Conference on Communication and Network Security, Weihai, China, December 3, 2021

Classifying Malicious Domains using DNS Traffic Analysis.

Samaneh Mahdavifar, Nasim Maleki, Arash Habibi Lashkari, Matt Broda, Amir H. Razavi

Proceedings of the IEEE Intl Conf on Dependable, 2021

2020

DeNNeS: deep embedded neural network expert system for detecting cyber attacks.

Samaneh Mahdavifar, Ali A. Ghorbani

Neural Comput. Appl., 2020

Dynamic Android Malware Category Classification using Semi-Supervised Deep Learning.

Samaneh Mahdavifar, Andi Fitriah Abdul Kadir, Rasool Fatemi, Dima Alhadidi, Ali A. Ghorbani

Proceedings of the IEEE Intl Conf on Dependable, 2020

2019

Application of deep learning to cybersecurity: A survey.

Samaneh Mahdavifar, Ali A. Ghorbani

Neurocomputing, 2019

Achieving Privacy-Preserving Subset Aggregation in Fog-Enhanced IoT.

Hassan Mahdikhani, Samaneh Mahdavifar, Rongxing Lu, Hui Zhu, Ali A. Ghorbani

IEEE Access, 2019

2012

A Clustering-Based Approach for Personalized Privacy Preserving Publication of Moving Object Trajectory Data.

Samaneh Mahdavifar, Mahdi Abadi, Mohsen Kahani, Hassan Mahdikhani

Proceedings of the Network and System Security - 6th International Conference, 2012