Samer Khamaiseh

According to our database, Samer Khamaiseh authored at least 16 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Powerful & Generalizable, Why not both? VA: Various Attacks Framework for Robust Adversarial Training.

Samer Khamaiseh, Deirdre Jost, Abdullah S. Al-Alaj, Ahmed Aleroud

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

MuAE: A Mutation Testing Framework for Evaluating Autoencoders.

Samer Y. Khamaiseh, Steven Chiacchira, Anas Alsobeh, Aibak Aljadayah

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

2024

On the Performance of Uplink NOMA Short-Packet Communication System.

Jianchao Zheng, Honglu Jiang, Liwen Yu, Samer Y. Khamaiseh, Mostafizur Rahman

IEEE Trans. Veh. Technol., December, 2024

Constraining Adversarial Attacks on Network Intrusion Detection Systems: Transferability and Defense Analysis.

Nour Alhussien, Ahmed Aleroud, Abdullah Melhem, Samer Y. Khamaiseh

IEEE Trans. Netw. Serv. Manag., June, 2024

A privacy-enhanced human activity recognition using GAN & entropy ranking of microaggregated data.

Ahmed Aleroud, Majd Shariah, Rami Malkawi, Samer Y. Khamaiseh, Abdullah S. Al-Alaj

Clust. Comput., April, 2024

Fool 'Em All - Fool-X: A Powerful & Fast Method for Generating Effective Adversarial Images.

Samer Y. Khamaiseh, Mathew Mancino, Deirdre Jost, Abdullah S. Al-Alaj, Derek Bagagem, Edoardo Serra

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Enhanced Approach for Agglomerative Clustering Using Topological Relations.

Hakam W. Alomari, Amer F. Al-Badarneh, Abdullah S. Al-Alaj, Samer Y. Khamaiseh

IEEE Access, 2023

Target-X: An Efficient Algorithm for Generating Targeted Adversarial Images to Fool Neural Networks.

Samer Y. Khamaiseh, Derek Bagagem, Abdullah S. Al-Alaj, Mathew Mancino, Hakem Alomari, Ahmed Aleroud

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

The Robustness of Detecting Known and Unknown DDoS Saturation Attacks in SDN via the Integration of Supervised and Semi-Supervised Classifiers.

Samer Khamaiseh, Abdullah S. Al-Alaj, Mohammad Adnan, Hakam W. Alomari

Future Internet, 2022

Adversarial Deep Learning: A Survey on Adversarial Attacks and Defense Mechanisms on Image Classification.

Samer Y. Khamaiseh, Derek Bagagem, Abdullah S. Al-Alaj, Mathew Mancino, Hakam W. Alomari

IEEE Access, 2022

2020

Detecting Saturation Attacks Based on Self-Similarity of OpenFlow Traffic.

Zhiyuan Li, Weijia Xing, Samer Khamaiseh, Dianxiang Xu

IEEE Trans. Netw. Serv. Manag., 2020

Deceiving Machine Learning-Based Saturation Attack Detection Systems in SDN.

Samer Y. Khamaiseh, Izzat Alsmadi, Abdullah S. Al-Alaj

Proceedings of the 2020 IEEE Conference on Network Function Virtualization and Software Defined Networks, 2020

vSwitchGuard: Defending OpenFlow Switches Against Saturation Attacks.

Samer Khamaiseh, Edoardo Serra, Dianxiang Xu

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019

Detecting Saturation Attacks in SDN via Machine Learning.

Samer Khamaiseh, Edoardo Serra, Zhiyuan Li, Dianxiang Xu

Proceedings of the 2019 4th International Conference on Computing, 2019

2018

Model-Based Testing of Obligatory ABAC Systems.

Samer Khamaiseh, Patrick Chapman, Dianxiang Xu

Proceedings of the 2018 IEEE International Conference on Software Quality, 2018

2017

Software Security Testing via Misuse Case Modeling.

Samer Khamaiseh, Dianxiang Xu

Proceedings of the 15th IEEE Intl Conf on Dependable, 2017