Mohammed Abuhamad

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 39

Top Topics

Authorship Attribution

Top Venues

IEEE Internet Things J.

Publications

Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, Tamer Abuhmed
SingleADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer Abuhmed
Impact of Architectural Modifications on Deep Learning Adversarial Robustness. CoRR (2024)
Mohsen Ali Alawami, Tamer Abuhmed, Mohammed Abuhamad, Hyoungshick Kim
MotionID: Towards practical behavioral biometrics-based implicit user authentication on smartphones. Pervasive Mob. Comput. 101 (2024)
Firuz Juraev, Mohammed Abuhamad, Eric Chan-Tin, George K. Thiruvathukal, Tamer Abuhmed
From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings. CoRR (2024)
Daisy Reyes, Eno Dynowski, Taryn Chovan, John Mikos, Eric Chan-Tin, Mohammed Abuhamad, Shelia Kennison
WebTracker: Real Webbrowsing Behaviors. SVCC (2023)
Yong Shao, Kenneth Hernandez, Kia Yang, Eric Chan-Tin, Mohammed Abuhamad
Lightweight and Effective Website Fingerprinting Over Encrypted DNS. SVCC (2023)
Muhammad T. Khan, Rachel Gordon, Nimra Khan, Madeline Moran, Mohammed Abuhamad, Loretta Stalans, Jeffrey Huntsinger, Jennifer Forestal, Eric Chan-Tin
Identification and Analysis of the Spread of {Mis}information on Social Media. CSoNet (2023)
Mohammed Abuhamad, Changhun Jung, David Mohaisen, DaeHun Nyang
SHIELD: Thwarting Code Authorship Attribution. CoRR (2023)
Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed
Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks. CoRR (2023)
Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, Tamer Abuhmed
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems. CoRR (2023)
Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems. CoRR (2023)
Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, Tamer Abuhmed
Black-box and Target-specific Attack Against Interpretable Deep Learning Systems. AsiaCCS (2022)
Hisham Alasmary, Afsah Anwar, Ahmed Abusnaina, Abdulrahman Alabduljabbar, Mohammed Abuhamad, An Wang, Daehun Nyang, Amro Awad, David Mohaisen
ShellCore: Automating Malicious IoT Software Detection Using Shell Commands Representation. IEEE Internet Things J. 9 (4) (2022)
Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen
DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification. IEEE Trans. Dependable Secur. Comput. 19 (5) (2022)
Qirui Sun, Mohammed Abuhamad, Eldor Abdukhamidov, Eric Chan-Tin, Tamer Abuhmed
MLxPack: Investigating the Effects of Packers on ML-based Malware Detection Systems Using Static and Dynamic Traits. CySSS@AsiaCCS (2022)
Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning. CoRR (2022)
Qirui Sun, Eldor Abdukhamidov, Tamer Abuhmed, Mohammed Abuhamad
Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. AsiaCCS (2022)
Jumabek Alikhanov, Rhongho Jang, Mohammed Abuhamad, David Mohaisen, Daehun Nyang, Youngtae Noh
Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches. IEEE Access 10 (2022)
Changhun Jung, Mohammed Abuhamad, David Mohaisen, Kyungja Han, DaeHun Nyang
WBC image classification and generative models based on convolutional neural network. BMC Medical Imaging 22 (1) (2022)
Firuz Juraev, Eldor Abdukhamidov, Mohammed Abuhamad, Tamer Abuhmed
Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models. AsiaCCS (2022)
Eldor Abdukhamidov, Mohammed Abuhamad, Firuz Juraev, Eric Chan-Tin, Tamer AbuHmed
AdvEdge: Optimizing Adversarial Perturbations Against Interpretable Deep Learning. CSoNet (2021)
Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad, Daehun Nyang, David Mohaisen
Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube. WWW (Companion Volume) (2021)
Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, Tamer AbuHmed
An Exploration of Geo-temporal Characteristics of Users' Reactions on Social Media During the Pandemic. CoRR (2021)
Mohammed Abuhamad, Tamer AbuHmed, David Mohaisen, Daehun Nyang
Large-scale and Robust Code Authorship Identification with Deep Feature Learning. ACM Trans. Priv. Secur. 24 (4) (2021)
Mohammed Abuhamad, Ahmed Abusnaina, Daehun Nyang, David Mohaisen
Sensor-Based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey. IEEE Internet Things J. 8 (1) (2021)
Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad, Daehun Nyang, David Mohaisen
Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube. CoRR (2021)
Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification. CoRR (2020)
Ahmed Abusnaina, Mohammed Abuhamad, DaeHun Nyang, Songqing Chen, An Wang, David Mohaisen
Insights into Attacks' Progression: Prediction of Spatio-Temporal Behavior of DDoS Attacks. WISA (2020)
Hisham Alasmary, Ahmed Abusnaina, Rhongho Jang, Mohammed Abuhamad, Afsah Anwar, DaeHun Nyang, David Mohaisen
Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers. ICDCS (2020)
Jinchun Choi, Mohammed Abuhamad, Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Jeman Park, Daehun Nyang, David Mohaisen
Understanding the Proxy Ecosystem: A Comparative Analysis of Residential and Open Proxies on the Internet. IEEE Access 8 (2020)
Mohammed Abuhamad, Tamer AbuHmed, DaeHun Nyang, David Mohaisen
Multi-χ: Identifying Multiple Authors from Source Code Files. Proc. Priv. Enhancing Technol. 2020 (3) (2020)
Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad, Anho Lee, DaeHun Nyang, David Mohaisen
An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic: Topical Trends and Sentiments. CSoNet (2020)
Mohammed Abuhamad, Tamer AbuHmed, David Mohaisen, DaeHun Nyang
AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors. IEEE Internet Things J. 7 (6) (2020)
Mohammed Abuhamad, Ahmed Abusnaina, DaeHun Nyang, David Mohaisen
Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Survey. CoRR (2020)
Sultan Alshamrani, Mohammed Abuhamad, Ahmed Abusnaina, David Mohaisen
Investigating Online Toxicity in Users Interactions with the Mainstream Media Channels on YouTube. CIKM (Workshops) (2020)
Changhun Jung, Mohammed Abuhamad, Jumabek Alikhanov, Aziz Mohaisen, Kyungja Han, DaeHun Nyang
W-Net: A CNN-based Architecture for White Blood Cells Image Classification. CoRR (2019)
Mohammed Abuhamad, Ji-su Rhim, Tamer AbuHmed, Sana Ullah, Sanggil Kang, DaeHun Nyang
Code authorship identification using convolutional neural networks. Future Gener. Comput. Syst. 95 (2019)
Ahmed Abusnaina, Hisham Alasmary, Mohammed Abuhamad, Saeed Salem, DaeHun Nyang, Aziz Mohaisen
Subgraph-Based Adversarial Examples Against Graph-Based IoT Malware Detection Systems. CSoNet (2019)
Mohammed Abuhamad, Tamer AbuHmed, Aziz Mohaisen, DaeHun Nyang
Large-Scale and Language-Oblivious Code Authorship Identification. CCS (2018)
Mohammed Abuhamad, Masnizah Mohd, Juhana Salim
Event-Driven Business Intelligence Approach for Real-Time Integration of Technical and fundamental Analysis in Forex Market. J. Comput. Sci. 9 (4) (2013)