Faculty

Institution

Unit

Venue

Mohammed Abuhamad

Assistant Professor

Loyola University Chicago

Affiliations

College of Arts and Sciences

Computer Science

Mohammed Abuhamad is currently serving as a College Of Arts And Sciences Assistant Professor at Loyola University Chicago.

Honors

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Experiences

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Education

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Mohammed Abuhamad

Loyola University Chicago

Assistant Professor

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computer science machine learning deep learning computer security information security communication social media systems engineering data science mass communication information technology adversarial machine learning internet of things ubiquitous computing mobile computing data security information management source code analysis writer identification software analysis biomedical imaging data privacy online information iot security mobile security brachytherapy machine learning research screen medium medical image computing computational imaging confidential computing secure computing malware analysis image classification convolutional neural networks automatic classification threat detection interpretable deep learning digital mediums biomedical informatics electronics knowledge management embedded sensing embedded machine learning next generation computing author profiling trustworthy computing hate speech audience reception video content analysis humor detection social criticism privacy enhancing technologies automatic identification biomedical data science internet science code representation large-scale datasets code validation software security covid-19 pandemic behavioral biometrics sensor-based continuous authentication smartphone sensors code authorship identification robust malware classification adversarial examples wbc image classification identifying multiple authors source code files subgraph-based adversarial examples cnn-based architecture sentiment analysis mainstream media channels users interactions online toxicity computational intelligence intelligent computing ai architecture ai safety trustworthy ai artificial intelligence neural network (machine learning)

Notable Scholarly Works

Notable Federal Grants

Collaborators

Identifying Cyberbullying Roles in Social Media. Lecture notes in computer science (2025)

Manuel SandovalMohammed AbuhamadPatrick FurmanMujtaba NazariDeborah L. HallYasin N. Silva

social medium datacommunicationsocial media

SHIELD: Thwarting Code Authorship Attribution. IEEE Transactions on Dependable and Secure Computing (2025)

Mohammed AbuhamadChanghun JungDavid MohaisenDaeHun Nyang

communicationcomputer securityintellectual propertycopyright protectioninformation securitycomputer science

Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity. 2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM) (2025)

Abdenour SoubihSeyyid Ahmed LahmerMohammed AbuhamadTamer Abuhmed

abuse detectioninformation scienceclients data heterogeneityknowledge discoverydata sciencedata privacyfederated learningubiquitous computingmachine learningdata heterogeneityubiquitous learningcommunicationreinforcement learninginformation managementdata securityadversarial machine learninginformation technologyinformation securitycomputer science

From Attack to Defense: Insights Into Deep Learning Security Measures in Black-Box Settings. arXiv (Cornell University) (2024)

Juraev, FiruzAbuhamad, MohammedChan-Tin, EricThiruvathukal, George K.Abuhmed, Tamer

deep learningblack-box settingssystems engineering

Identification and Analysis of the Spread of {Mis}Information on Social Media. Lecture notes in computer science (2024)

Muhammad T. KhanRachel GordonNimra KhanMadeline MoranMohammed AbuhamadLoretta StalansJeffrey HuntsingerJennifer ForestalEric Chan-Tin

communicationinformation sciencemass communicationinformation sharinginformation diffusionsocial network analysissocial mediainformation managementinformation technologyinformation developmentinformation propagationnetwork sciencedata scienceknowledge discoveryonline informationknowledge diffusioncomputer sciencemisinformation

Impact of Architectural Modifications on Deep Learning Adversarial Robustness. arXiv (Cornell University) (2024)

Juraev, FiruzAbuhamad, MohammedWoo, Simon S.Thiruvathukal, George KAbuhmed, Tamer

architectureadversarial robustnessarchitectural modificationsdeep learningmachine learning

MOTIONID: Towards Practical Behavioral Biometrics-Based Implicit User Authentication on Smartphones. Pervasive and Mobile Computing (2024)

Mohsen Ali AlawamiTamer AbuhmedMohammed AbuhamadHyoungshick Kim

mobile computingpervasive computingmobile securitybiometricsbehavioral sciences

SINGLEADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems. IEEE Transactions on Information Forensics and Security (2024)

Eldor AbdukhamidovMohammed AbuhamadGeorge K. ThiruvathukalHyoungshick KimTamer Abuhmed

single-class target-specific attackinformation forensicsmachine learningcommunication securitycomputer securitydeep learninginformation technologydata securityinformation securitythreat detectioncomputer science

The Impact of Model Variations on the Robustness of Deep Learning Models in Adversarial Settings. (2024)

Firuz JuraevMohammed AbuhamadSimon S. WooGeorge K ThiruvathukalTamer Abuhmed

model variationsdeep learning modelsmachine learningadversarial settingsdeep learningrobustness (computer science)computer science

Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses. (2024)

Firuz JuraevMohammed AbuhamadEric Chan-TinGeorge K. ThiruvathukalTamer Abuhmed

multi-dimensional analysismachine learningdeep learningadversarial attacksdeep learning modelscomputer scienceadversarial machine learning

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Mohammed Abuhamad

Assistant Professor

Loyola University Chicago

Affiliations

College of Arts and Sciences

Computer Science

Mohammed Abuhamad is currently serving as a College Of Arts And Sciences Assistant Professor at Loyola University Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Mohammed Abuhamad

Loyola University Chicago

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Identifying Cyberbullying Roles in Social Media. Lecture notes in computer science (2025)

Manuel SandovalMohammed AbuhamadPatrick FurmanMujtaba NazariDeborah L. HallYasin N. Silva

social medium datacommunicationsocial media

SHIELD: Thwarting Code Authorship Attribution. IEEE Transactions on Dependable and Secure Computing (2025)

Mohammed AbuhamadChanghun JungDavid MohaisenDaeHun Nyang

communicationcomputer securityintellectual propertycopyright protectioninformation securitycomputer science

Abdenour SoubihSeyyid Ahmed LahmerMohammed AbuhamadTamer Abuhmed

From Attack to Defense: Insights Into Deep Learning Security Measures in Black-Box Settings. arXiv (Cornell University) (2024)

Juraev, FiruzAbuhamad, MohammedChan-Tin, EricThiruvathukal, George K.Abuhmed, Tamer

deep learningblack-box settingssystems engineering

Identification and Analysis of the Spread of {Mis}Information on Social Media. Lecture notes in computer science (2024)

Muhammad T. KhanRachel GordonNimra KhanMadeline MoranMohammed AbuhamadLoretta StalansJeffrey HuntsingerJennifer ForestalEric Chan-Tin

Impact of Architectural Modifications on Deep Learning Adversarial Robustness. arXiv (Cornell University) (2024)

Juraev, FiruzAbuhamad, MohammedWoo, Simon S.Thiruvathukal, George KAbuhmed, Tamer

architectureadversarial robustnessarchitectural modificationsdeep learningmachine learning

MOTIONID: Towards Practical Behavioral Biometrics-Based Implicit User Authentication on Smartphones. Pervasive and Mobile Computing (2024)

Mohsen Ali AlawamiTamer AbuhmedMohammed AbuhamadHyoungshick Kim

mobile computingpervasive computingmobile securitybiometricsbehavioral sciences

SINGLEADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems. IEEE Transactions on Information Forensics and Security (2024)

Eldor AbdukhamidovMohammed AbuhamadGeorge K. ThiruvathukalHyoungshick KimTamer Abuhmed

The Impact of Model Variations on the Robustness of Deep Learning Models in Adversarial Settings. (2024)

Firuz JuraevMohammed AbuhamadSimon S. WooGeorge K ThiruvathukalTamer Abuhmed

model variationsdeep learning modelsmachine learningadversarial settingsdeep learningrobustness (computer science)computer science

Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses. (2024)

Firuz JuraevMohammed AbuhamadEric Chan-TinGeorge K. ThiruvathukalTamer Abuhmed

multi-dimensional analysismachine learningdeep learningadversarial attacksdeep learning modelscomputer scienceadversarial machine learning

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5
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