Event-Driven Business Intelligence Approach for Real-Time Integration of Technical and fundamental Analysis in Forex Market. - Mohammed Abuhamad; Masnizah Mohd; Juhana Salim (J. Comput. Sci., 2013)

Large-Scale and Language-Oblivious Code Authorship Identification. - Mohammed Abuhamad; Tamer AbuHmed; Aziz Mohaisen; DaeHun Nyang (CCS, 2018)

Subgraph-Based Adversarial Examples Against Graph-Based IoT Malware Detection Systems. - Ahmed Abusnaina; Hisham Alasmary; Mohammed Abuhamad; Saeed Salem; DaeHun Nyang; Aziz Mohaisen (CSoNet, 2019)

W-Net: A CNN-based Architecture for White Blood Cells Image Classification. - Changhun Jung; Mohammed Abuhamad; Jumabek Alikhanov; Aziz Mohaisen; Kyungja Han; DaeHun Nyang (CoRR, 2019)

Code authorship identification using convolutional neural networks. - Mohammed Abuhamad; Ji-su Rhim; Tamer AbuHmed; Sana Ullah; Sanggil Kang; DaeHun Nyang (Future Gener. Comput. Syst., 2019)

Investigating Online Toxicity in Users Interactions with the Mainstream Media Channels on YouTube. - Sultan Alshamrani; Mohammed Abuhamad; Ahmed Abusnaina; David Mohaisen (CIKM (Workshops), 2020)

An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic: Topical Trends and Sentiments. - Sultan Alshamrani; Ahmed Abusnaina; Mohammed Abuhamad; Anho Lee; DaeHun Nyang; David Mohaisen (CSoNet, 2020)

Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers. - Hisham Alasmary; Ahmed Abusnaina; Rhongho Jang; Mohammed Abuhamad; Afsah Anwar; DaeHun Nyang; David Mohaisen (ICDCS, 2020)

Insights into Attacks' Progression: Prediction of Spatio-Temporal Behavior of DDoS Attacks. - Ahmed Abusnaina; Mohammed Abuhamad; DaeHun Nyang; Songqing Chen; An Wang 002; David Mohaisen (WISA, 2020)

Understanding the Proxy Ecosystem: A Comparative Analysis of Residential and Open Proxies on the Internet. - Jinchun Choi; Mohammed Abuhamad; Ahmed Abusnaina; Afsah Anwar; Sultan Alshamrani; Jeman Park 001; Daehun Nyang; David Mohaisen (IEEE Access, 2020)

Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Survey. - Mohammed Abuhamad; Ahmed Abusnaina; DaeHun Nyang; David Mohaisen (CoRR, 2020)

A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification. - Ahmed Abusnaina; Mohammed Abuhamad; Hisham Alasmary; Afsah Anwar; Rhongho Jang; Saeed Salem; DaeHun Nyang; David Mohaisen (CoRR, 2020)

AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors. - Mohammed Abuhamad; Tamer AbuHmed; David Mohaisen; DaeHun Nyang (IEEE Internet Things J., 2020)

Multi-χ: Identifying Multiple Authors from Source Code Files. - Mohammed Abuhamad; Tamer AbuHmed; DaeHun Nyang; David Mohaisen (Proc. Priv. Enhancing Technol., 2020)

AdvEdge: Optimizing Adversarial Perturbations Against Interpretable Deep Learning. - Eldor Abdukhamidov; Mohammed Abuhamad; Firuz Juraev; Eric Chan-Tin; Tamer AbuHmed (CSoNet, 2021)

Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube. - Sultan Alshamrani; Ahmed Abusnaina; Mohammed Abuhamad; Daehun Nyang; David Mohaisen (WWW (Companion Volume), 2021)

An Exploration of Geo-temporal Characteristics of Users' Reactions on Social Media During the Pandemic. - Eldor Abdukhamidov; Firuz Juraev; Mohammed Abuhamad; Tamer AbuHmed (CoRR, 2021)

ShellCore: Automating Malicious IoT Software Detection by Using Shell Commands Representation. - Hisham Alasmary; Afsah Anwar; Ahmed Abusnaina; Abdulrahman Alabduljabbar; Mohammad Abuhamad; An Wang 002; DaeHun Nyang; Amro Awad; David Mohaisen (CoRR, 2021)

Sensor-Based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey. - Mohammed Abuhamad; Ahmed Abusnaina; Daehun Nyang; David Mohaisen (IEEE Internet Things J., 2021)

Large-scale and Robust Code Authorship Identification with Deep Feature Learning. - Mohammed Abuhamad; Tamer AbuHmed; David Mohaisen; Daehun Nyang (ACM Trans. Priv. Secur., 2021)

Black-box and Target-specific Attack Against Interpretable Deep Learning Systems. - Eldor Abdukhamidov; Firuz Juraev; Mohammed Abuhamad; Tamer Abuhmed (AsiaCCS, 2022)

Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models. - Firuz Juraev; Eldor Abdukhamidov; Mohammed Abuhamad; Tamer Abuhmed (AsiaCCS, 2022)

Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. - Qirui Sun; Eldor Abdukhamidov; Tamer Abuhmed; Mohammed Abuhamad (AsiaCCS, 2022)

MLxPack: Investigating the Effects of Packers on ML-based Malware Detection Systems Using Static and Dynamic Traits. - Qirui Sun; Mohammed Abuhamad; Eldor Abdukhamidov; Eric Chan-Tin; Tamer Abuhmed (CySSS@AsiaCCS, 2022)

Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches. - Jumabek Alikhanov; Rhongho Jang; Mohammed Abuhamad; David Mohaisen; Daehun Nyang; Youngtae Noh (IEEE Access, 2022)

WBC image classification and generative models based on convolutional neural network. - Changhun Jung; Mohammed Abuhamad; David Mohaisen; Kyungja Han; DaeHun Nyang (BMC Medical Imaging, 2022)

Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed (CoRR, 2022)

ShellCore: Automating Malicious IoT Software Detection Using Shell Commands Representation. - Hisham Alasmary; Afsah Anwar; Ahmed Abusnaina; Abdulrahman Alabduljabbar; Mohammed Abuhamad; An Wang 002; Daehun Nyang; Amro Awad; David Mohaisen (IEEE Internet Things J., 2022)

DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification. - Ahmed Abusnaina; Mohammed Abuhamad; Hisham Alasmary; Afsah Anwar; Rhongho Jang; Saeed Salem; DaeHun Nyang; David Mohaisen (IEEE Trans. Dependable Secur. Comput., 2022)

Identification and Analysis of the Spread of {Mis}information on Social Media. - Muhammad T. Khan; Rachel Gordon; Nimra Khan; Madeline Moran; Mohammed Abuhamad; Loretta J. Stalans; Jeffrey Huntsinger; Jennifer Forestal; Eric Chan-Tin (CSoNet, 2023)

WebTracker: Real Webbrowsing Behaviors. - Daisy Reyes; Eno Dynowski; Taryn Chovan; John Mikos; Eric Chan-Tin; Mohammed Abuhamad; Shelia Kennison (SVCC, 2023)

Lightweight and Effective Website Fingerprinting Over Encrypted DNS. - Yong Shao; Kenneth Hernandez; Kia Yang; Eric Chan-Tin; Mohammed Abuhamad (SVCC, 2023)

SHIELD: Thwarting Code Authorship Attribution. - Mohammed Abuhamad; Changhun Jung; David Mohaisen; DaeHun Nyang (CoRR, 2023)

Single-Class Target-Specific Attack against Interpretable Deep Learning Systems. - Eldor Abdukhamidov; Mohammed Abuhamad; George K. Thiruvathukal; Hyoungshick Kim; Tamer Abuhmed (CoRR, 2023)

Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed (CoRR, 2023)

Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed (CoRR, 2023)

Identifying Cyberbullying Roles in Social Media. - Manuel Sandoval; Mohammed Abuhamad; Patrick Furman; Mujtaba Nazari; Deborah L. Hall; Yasin N. Silva (ASONAM (3), 2024)

Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses. - Firuz Juraev; Mohammed Abuhamad; Eric Chan-Tin; George K. Thiruvathukal; Tamer Abuhmed (SVCC, 2024)

The Impact of Model Variations on the Robustness of Deep Learning Models in Adversarial Settings. - Firuz Juraev; Mohammed Abuhamad; Simon S. Woo; George K. Thiruvathukal; Tamer Abuhmed (SVCC, 2024)

Impact of Architectural Modifications on Deep Learning Adversarial Robustness. - Firuz Juraev; Mohammed Abuhamad; Simon S. Woo; George K. Thiruvathukal; Tamer Abuhmed (CoRR, 2024)

From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings. - Firuz Juraev; Mohammed Abuhamad; Eric Chan-Tin; George K. Thiruvathukal; Tamer Abuhmed (CoRR, 2024)

Detecting LGBTQ+ Instances of Cyberbullying. - Muhammad Arslan; Manuel Sandoval Madrigal; Mohammed Abuhamad; Deborah L. Hall; Yasin N. Silva (CoRR, 2024)

MotionID: Towards practical behavioral biometrics-based implicit user authentication on smartphones. - Mohsen Ali Alawami; Tamer Abuhmed; Mohammed Abuhamad; Hyoungshick Kim (Pervasive Mob. Comput., 2024)

Hardening Interpretable Deep Learning Systems: Investigating Adversarial Threats and Defenses. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed (IEEE Trans. Dependable Secur. Comput., 2024)

SingleADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems. - Eldor Abdukhamidov; Mohammed Abuhamad; George K. Thiruvathukal; Hyoungshick Kim; Tamer Abuhmed (IEEE Trans. Inf. Forensics Secur., 2024)

Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity. - Abdenour Soubih; Seyyid Ahmed Lahmer; Mohammed Abuhamad; Tamer Abuhmed (IMCOM, 2025)

Breaking the Illusion of Security via Interpretation: Interpretable Vision Transformer Systems under Attack. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Hyoungshick Kim; Tamer Abuhmed (CoRR, 2025)

Attacking interpretable NLP systems. - Eldor Abdukhamidov; Tamer Abuhmed; Joanna C. S. Santos; Mohammed Abuhamad (CoRR, 2025)