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ORCIDMohammed Abuhamad
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2020 – today
- 2024
[j14]Mohsen Ali Alawami
, Tamer Abuhmed, Mohammed Abuhamad, Hyoungshick Kim:
MotionID: Towards practical behavioral biometrics-based implicit user authentication on smartphones. Pervasive Mob. Comput. 101: 101922 (2024)- [j13]Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed:
Hardening Interpretable Deep Learning Systems: Investigating Adversarial Threats and Defenses. IEEE Trans. Dependable Secur. Comput. 21(4): 3963-3976 (2024) - [j12]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: 5985-5998 (2024) - [c17]Firuz Juraev, Mohammed Abuhamad, Eric Chan-Tin, George K. Thiruvathukal, Tamer Abuhmed:
Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses. SVCC 2024: 1-8 - [c16]Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer Abuhmed:
The Impact of Model Variations on the Robustness of Deep Learning Models in Adversarial Settings. SVCC 2024: 1-7 - [i14]Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer Abuhmed:
Impact of Architectural Modifications on Deep Learning Adversarial Robustness. CoRR abs/2405.01934 (2024) - [i13]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 abs/2405.01963 (2024) - [i12]Muhammad Arslan, Manuel Sandoval Madrigal, Mohammed Abuhamad, Deborah L. Hall, Yasin N. Silva:
Detecting LGBTQ+ Instances of Cyberbullying. CoRR abs/2409.12263 (2024) - 2023
- [c15]Muhammad T. Khan, Rachel Gordon, Nimra Khan, Madeline Moran, Mohammed Abuhamad, Loretta J. Stalans, Jeffrey Huntsinger, Jennifer Forestal, Eric Chan-Tin:
Identification and Analysis of the Spread of {Mis}information on Social Media. CSoNet 2023: 361-372 - [c14]Daisy Reyes, Eno Dynowski, Taryn Chovan, John Mikos, Eric Chan-Tin, Mohammed Abuhamad, Shelia Kennison:
WebTracker: Real Webbrowsing Behaviors. SVCC 2023: 1-8 - [c13]Yong Shao, Kenneth Hernandez, Kia Yang, Eric Chan-Tin, Mohammed Abuhamad:
Lightweight and Effective Website Fingerprinting Over Encrypted DNS. SVCC 2023: 1-8 - [i11]Mohammed Abuhamad, Changhun Jung, David Mohaisen, DaeHun Nyang:
SHIELD: Thwarting Code Authorship Attribution. CoRR abs/2304.13255 (2023) - [i10]Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, Tamer Abuhmed:
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems. CoRR abs/2307.06484 (2023) - [i9]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 abs/2307.06496 (2023) - [i8]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 abs/2307.11906 (2023) - 2022
- [j11]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: 5801-5823 (2022) - [j10]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): 94 (2022) - [j9]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): 2485-2496 (2022) - [j8]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): 3432-3447 (2022) - [c12]Firuz Juraev, Eldor Abdukhamidov, Mohammed Abuhamad, Tamer Abuhmed:
Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models. AsiaCCS 2022: 1207-1209 - [c11]Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, Tamer Abuhmed:
Black-box and Target-specific Attack Against Interpretable Deep Learning Systems. AsiaCCS 2022: 1216-1218 - [c10]Qirui Sun, Eldor Abdukhamidov, Tamer Abuhmed, Mohammed Abuhamad:
Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. AsiaCCS 2022: 1240-1242 - [c9]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: 11-18 - [i7]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 abs/2211.15926 (2022) - 2021
- [j7]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): 65-84 (2021) - [j6]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): 23:1-23:35 (2021) - [c8]Eldor Abdukhamidov, Mohammed Abuhamad, Firuz Juraev, Eric Chan-Tin, Tamer AbuHmed:
AdvEdge: Optimizing Adversarial Perturbations Against Interpretable Deep Learning. CSoNet 2021: 93-105 - [c7]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: 508-515 - [i6]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 abs/2103.09050 (2021) - [i5]Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, Tamer AbuHmed:
An Exploration of Geo-temporal Characteristics of Users' Reactions on Social Media During the Pandemic. CoRR abs/2103.13032 (2021) - [i4]Hisham Alasmary, Afsah Anwar, Ahmed Abusnaina, Abdulrahman Alabduljabbar, Mohammad Abuhamad, An Wang, DaeHun Nyang, Amro Awad, David Mohaisen:
ShellCore: Automating Malicious IoT Software Detection by Using Shell Commands Representation. CoRR abs/2103.14221 (2021) - 2020
- [j5]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: 111368-111380 (2020) - [j4]Mohammed Abuhamad, Tamer AbuHmed, David Mohaisen, DaeHun Nyang:
AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors. IEEE Internet Things J. 7(6): 5008-5020 (2020) - [j3]Mohammed Abuhamad, Tamer AbuHmed, DaeHun Nyang, David Mohaisen:
Multi-χ: Identifying Multiple Authors from Source Code Files. Proc. Priv. Enhancing Technol. 2020(3): 25-41 (2020) - [c6]Sultan Alshamrani, Mohammed Abuhamad, Ahmed Abusnaina, David Mohaisen:
Investigating Online Toxicity in Users Interactions with the Mainstream Media Channels on YouTube. CIKM (Workshops) 2020 - [c5]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: 73-86 - [c4]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: 888-898 - [c3]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: 362-374 - [i3]Mohammed Abuhamad, Ahmed Abusnaina, DaeHun Nyang, David Mohaisen:
Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Survey. CoRR abs/2001.08578 (2020) - [i2]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 abs/2005.07145 (2020)
2010 – 2019
- 2019
- [j2]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: 104-115 (2019) - [c2]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: 268-281 - [i1]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 abs/1910.01091 (2019) - 2018
- [c1]Mohammed Abuhamad, Tamer AbuHmed, Aziz Mohaisen, DaeHun Nyang:
Large-Scale and Language-Oblivious Code Authorship Identification. CCS 2018: 101-114 - 2013
- [j1]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): 488-499 (2013)
Coauthor Index
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last updated on 2024-10-23 21:25 CEST by the dblp team
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