Articles, papers, presentations, and other materials authored by faculty from the Computer Science department of Loyola University Chicago's College of Arts & Sciences.
Submissions from 2026
SpectrumNet: Detecting LGBTQ+ Cyberbullying with Dynamic Context-Aware Attention., Arslan Bisharat, Manuel Sandoval, Mujtaba Nazari, Mohammed abuhamad, Deborah Hall, and Yasin Silva
WebTracker: Real Webbrowsing Behaviors -- is Website Fingerprinting now Realistic?, Taryn Chovan, Daisy Reyes, Eno Dynowski, John Mikos, Eric Chan-Tin, Mohammed Abuhamad, and Shelia Kennison
Three-dimensional shape cues affect human and artificial recognition systems differently, Mikayla Cutler, Luke D. Baumel, Joseph Tocco, William Friebel, George K. Thiruvathukal, and Nicholas Baker Dr.
A Hybrid Language Framework for Ontology-Based Clinical Concept Extraction, Behnaz Eslami, Dmitriy Dligach, Nazanin Azarvash, Paula de la Pena, Benjamin Strickland, and Samie Tootooni
Effective Wordle Heuristics, Ronald I. Greenberg
Explainable Multimodal Deep Learning Models for Variable-Length Sequences in Critically Ill Patients, Jennifer Martin, Majid Afshar, Askar Safipour Afshar, John Caskey, Dmitriy Dligach, Yanjun Gao, Jifan Gao, Guanhua Chen, Anoop Mayampurath, and Matthew M. Churpek
SecureAI: Toward Experiential Security and Privacy Training for AI Practitioners, Mujtaba Nazari, Eric Chan-Tin, Loretta Stalans, and Mohammed Abuhamad
Detecting Stigmatizing Language in Clinical Notes with Large Language Models for Addiction Care, Rohan Sethi, John Caskey, Yanjun Gao, Matthew M. Churpek, Timothy A. Miller, Anoop Mayampurath, Elizabeth Salisbury-Afshar, Majid Afshar, and Dmitriy Dligach
Submissions from 2025
Stealthy Query-Efficient OpaqueAttack Against Interpretable Deep Learning, Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, and Tamer Abuhmed
SHIELD: Thwarting Code Authorship Attribution, Mohammed Abuhamad, Changhun Jung, David Mohaisen, and DaeHun Nyang
Not-so-Secret Authentication: The SyncBleed Attacks and Defenses for Zero-Involvement Authentication Systems, Isaac Ahlgren, Rushikesh Shirsat, Omar Achkar, George K. Thiruvathukal, Kyu In Lee, and Neil Klingensmith
PARAVIRT: Userland Containers for Mobile Systems, Isaac Ahlgren, Yasin Silva, Eric Chan-Tin, George Thiruvathukal, Kyu In Lee, and Neil Klingensmith
AdvChar: Attacking Interpretable NLP Systems, Arslan Bisharat
Implications of Neural Compression to Scientific Images, João Phillipe Cardenuto, Joshua Krinsky, Lucas Nogueira, Aparna Bharati, and Daniel Moreira
Characterizing Problematic Images in Retracted Scientific Articles, João Phillipe Cardenuto, Daniel Moreira, and Anderson Rocha
Strengthening Scientific Integrity: Digital Forensics for Biomedical Research Imaging, João Phillipe Cardenuto, Daniel Moreira, and Anderson Rocha
Bringing Different Disciplines and Competitions in your Classroom, Eric Chan-Tin and Mohammed Abuhamad
Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge, Nick Eliopoulos, Purvish Jajal, James C. Davis, Gaowen Liu, George K. Thiruvathukal, and Yung-Hsiang Lu
Low Code/No Code Meets the Metaverse, George F. Hurlburt, George K. Thiruvathukal, Nir Kshetri, and Norita Ahmad
Token Turing Machines are Efficient Vision Models, Purvish Jajal, Nick Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiruvathukal, James C. Davis, and Yung-Hsiang Lu
Analyzing Adversarial Strategies and Countermeasures for Cyberbullying Detection, Maddie Juarez, Eldor Abdukhamidov, Manuel Sandoval, Deborah Hall, Mujtaba Nazari, George Thiruvathukal, Tamer Abuhmed, Yasin Silva, and Mohammed Abuhamad
HOTLangBench, a Tiny Benchmark Suite for Higher-Order Statically Typed Languages, Konstantin Laufer
TLA+ for All: Model Checking in a Python Notebook, Konstantin Laufer and George K. Thiruvathukal
Encrypted Network Traffic Analysis: To Website Fingerprinting and Beyond, Madeline Moran, Joshua Honig, Nathan Ferrell, Shreena Soni, Sophia Homan, Eric Chan-Tin, and Mohammed Abuhamad
Encrypted Network Traffic Analysis: To Website Fingerprinting and Beyond, Madeline Moran, Joshua Honig, Nathan Ferrell, Shreena Soni, Sophia Homan, Eric Chan-Tin, and Mohammed Abuhamad
Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis, Nikita Ravi, Abhinav Goel, James C. Davis, and George K. Thiruvathukal
Identifying Cyberbullying Roles in Social Media, Manuel Sandoval, Mohammed Abuhamad, Patrick Furman, Mujtaba Nazari, Deborah Hall, and Yasin N. Silva
Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity, Abdenour Soubih, Seyyid Ahmed Lahmer, Mohammed Abuhamad, and Tamer Abuhmed
Evaluating LLMs Capabilities Towards Understanding Social Dynamics, Anique Tahir, Lu Cheng, Manuel Sandoval, Yasin Silva, Deborah Hall, and Huan Liu
Automating Course Scheduling with Linear Programming and the Python PuLP Framework: First Steps, George K. Thiruvathukal
Episodes in Computing History - Salon Talk, George K. Thiruvathukal
Jazz Scale Patterns with Abjad and Lilypond, George K. Thiruvathukal
AI Foundations and Applications: Summary of a Panel Discussion at Loyola University Chicago, George K. Thiruvathukal, Dmitry Dligach, Shilpika, Michael B. Burns, Joseph Vukov, Fraser Turner, and Mary Usher
Submissions from 2024
SingleADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems, Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, and Tamer Abuhmed
Hardening Interpretable Deep Learning Systems: Investigating Adversarial Threats and Defenses, Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, and Tamer Abuhmed
A Signal Injection Attack Against Zero Involvement Pairing and Authentication for the Internet of Things, Isaac Ahlgren, Jack West, Kyuin Lee, George K. Thiruvathukal, and Neil Klingensmith
A Signal Injection Attack Against Zero Involvement Pairing and Authentication for the Internet of Things, Isaac Ahlgren, Jack West, Kyu In Lee, George Thiruvathukal, and Neil Klingensmith
MotionID: Towards Practical Behavioral Biometrics-Based Implicit User Authentication on Smartphones, Mohsen Ali Alawami, Tamer Abuhmed, Mohammed Abuhamad, and Hyoungshick Kim
Optimizing Uncertainty Estimation on Scientific Visualizations Using Learning Models, Clara Almeida, David Guerrero-Pantoja, Erik Pautsch, Silvio Rizzi, George Thiruvathukal, and Maria Pantoja
Social identity, social media use, and mental health in adults: Investigating the mediating role of cyberbullying experiences and the moderating effects of gender and age., Natali Barragan, Amanda Batista, Deborah Hall, and Yasin Silva
ReTexture 2D, Luke D. Baumel, Mikayla Cutler, Joseph Tocco, William Friebel, George K. Thiruvathukal, and Nicholas Baker Dr.
Detecting LGBTQ+ Instances of Cyberbullying, Arslan Bisharat, Manuel Madrigal, Mohammed Abuhamad, Deborah Hall, and Yasin Silva
Explainable Artifacts for Synthetic Western Blot Source Attribution, João Phillipe Cardenuto, Sara Mandelli, Daniel Moreira, Paolo Bestagini, Edward J. Delp, and Anderson Rocha
Unveiling Scientic Articles from Paper Mills with Provenance Analysis, João Phillipe Cardenuto, Daniel Moreira, and Anderson Rocha
Unveiling scientific articles from paper mills with provenance analysis, João Phillipe Cardenuto, Daniel Moreira, and Anderson Rocha
ReTexture 3D, Mikayla Cutler, Luke D. Baumel, Joseph Tocco, William Friebel, George K. Thiruvathukal, and Nicholas Baker Dr.
Reusing Deep Learning Models: Challenges and Directions in Software Engineering, James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, and George K. Thiruvathukal
Crowdsourcing: A Roundtable Discussion, Joanna F. DeFranco, Nir Kshetri, George K. Thiruvathukal, and George F. Hurlburt
Containerization on a Self-Supervised Active Foveated Approach to Computer Vision, Dario Dematties, Silvio Rizzi, and George K. Thiruvathukal
Artificial Intelligence Employment Interviews: Examining Limitations, Biases, and Perceptions, Theresa Fister and George K. Thiruvathukal
Exploring Perceptions of Algorithmic Bias in Video Interviewing Software: The Importance of AI Hiring Education, Theresa Fister and George K. Thiruvathukal
Accelerating Uncertainty Methods for Distributed Deep Learning on Novel Architectures, Daniel Guerrero-Pantoja, Erik Pautsch, Clara Almeida, Silvio Rizzi, George K. Thiruvathukal, and Maria Pantoja
Can Large-Language Models Help us Better Understand and Teach the Development of Energy-Efficient Software?, Ryan Hasler, Konstantin Laufer, George K. Thiruvathukal, Huiyun Peng, Kyle Robinson, Kirsten Davis, Yung-Hisang Lu, and James C. Davis
Assessing the Impact of an RPP on a Large Urban School District: The Case of CAFÉCS, Erin Henrick, Danny Schmidt, Steven McGee, Andrew M. Rasmussen, Lucia Dettori, Ronald I. Greenberg, Dale Reed, and Don Yanek
Establishing Metrics to Encourage Broader Use of Atomic Requirements – A Call for Exchange and Experimentation, William L. Honig
Robust Source Attribution of Synthetically Generated Western Blot Images, Matt Hyattt, George K. Thiruvathukal, and Daniel Moreira
Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters, Purvish Jajal, Wenxin Jiang, Arav Tewari, Erik Kocinare, Joseph Woo, Anusha Sarraf, Yung-Hsiang Lu, George Thiruvathukal, and James C. Davis
Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision, Wenxin Jiang, Vishnu Banna, Naveen Vivek, Abhinav Goel, Nicholas Synovic, George K. Thiruvathukal, and James C. Davis
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software, Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, and James C. Davis
What Do We Know About Hugging Face? A Systematic Literature Review and Quantitative Validation of Qualitative Claims, Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, and James C. Davis
ActionPoint: An App to Combat Cyberbullying by Strengthening Parent-Teen Relationships, Maddie Juarez, Natali Barragan, Deborah Hall, George K. Thiruvathukal, and Yasin Silva
ActionPoint: An App to Combat Cyberbullying via the Strengthening of Parent-Teen Relationships, Maddie Juarez, Natali Barragan, Deborah Hall, George K. Thiruvathukal, and Yasin N. Silva
Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses, Firuz Juraev, Mohammed Abuhamad, Eric S. Chan-Tin, George K. Thiruvathukal, and Tamer Abuhmed
From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings, Firuz Juraev, Mohammed Abuhamad, Eric Chan-Tin, George K. Thiruvathukal, and Tamer Abuhmed
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, and Tamer Abuhmed
Emoji Use in Social Media Posts: Relationships with Personality Traits and Word Usage, Shelia Kennison, Kameryn Fritz, Maria Andrea Hurtado Morales, and Eric Chan-Tin
Exploring Saliency Bias in Manipulation Detection, Joshua Krinsky, Alan Bettis, Qiuyu Tang, Daniel Moreira, and Aparna Bharati
WIP: An Engaging Undergraduate Intro to Model Checking in Software Engineering Using TLA+, Konstantin Laufer, Gunda Mertin, and George K. Thiruvathukal
Engaging More Students in Formal Methods Education: A Practical Approach Using Temporal Logic of Actions, Konstantin Läufer, Gunda Mertin, and George K. Thiruvathukal
Intermediate C Programming (2nd Edition) Supplemental Lecture Materials, Yung-Hsiang Lu and George K. Thiruvathukal
Localization of Synthetic Manipulations in Western Blot Images, Anmol Manjunath, Viola Negroni, Sara Mandelli, Daniel Moreira, and Paolo Bestagini
Synthetic Realities and Artificial Intelligence-Generated Contents, Daniel Moreira, Sebastien Marcel, and Anderson Rocha
A Computer Vision Solution to Cross-cultural Food Image Classification and Nutrition Logging, Rohan Sethi and George K. Thiruvathukal
Artificial Intelligence and/or Machine Learning (AI &| ML), George K. Thiruvathukal
An Automated Approach for Improving The Inference Latency and Energy Efficiency of Pretrained CNNs by Removing Irrelevant Pixels with Focused Convolutions, Caleb Tung, Nick Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, and Yung-Hsiang Lu
Terry Riley's "In C" for Mobile Ensemble, David B. Wetzel, Griffin Moe, and George K. Thiruvathukal
Global Prevalence Patterns of Anti-Asian Prejudice on Twitter During the COVID-19 Pandemic., Brittany Wheeler, Monika Purohit, Patrick Furman, Seong Jung, Deborah Hall, Maria Camila N. Barioni, and Yasin Silva
Submissions from 2023
Poster: Userland Containers for Mobile Systems, Isaac Ahlgren, Victor Rakotondranoro, Yasin N. Silva, Eric Chan-Tin, George K. Thiruvathukal, and Neil Klingensmith
SyncBleed: A Realistic Threat Model and Mitigation Strategy for Zero-Involvement Pairing and Authentication (ZIPA), Isaac Ahlgren, Jack West, Kyuin Lee, George K. Thiruvathukal, and Neil Klingensmith
Observing Human Mobility Internationally During COVID-19, Shane Allcroft, Mohammed Metwaly, Zachery Berg, Isha Ghodgaonkar, Fischer Bordwell, XinXin Zhao, Xinglei Liu, Jiahao Xu, Subhankar Chakraborty, Vishnu Banna, Akhil Chinnakotla, Abhinav Goel, Caleb Tung, Gore Kao, Wei Zakharov, David A. Shoham, George K. Thiruvathukal, and Yung-Hsiang Lu
Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition, Aidan Boyd, Daniel Moreira, Andrey Kuehlkamp, Kevin Bowyer, and Adam Czajka
The Age of Synthetic Realities: Challenges and Opportunities, João Phillipe Cardenuto, Jing Yang, Rafael Padilha, Renjie Wan, Daniel Moreira, Haoliang Li, Shiqi Wang, Fernanda Andaló, Sébastien Marcel, and Anderson Rocha
Conversations with ChatGPT about C Programming: An Ongoing Study, James C. Davis, Yung-Hsiang Lu, and George K. Thiruvathukal
Tree-based Unidirectional Neural Networks for Low-Power Computer Vision, Abhinav Goel, Caleb Tung, Nick Eliopoulos, Amy Wang, Jamie C. Davis, George K. Thiruvathukal, and Yung-Hisang Lu
Assessing the Impact of a CSforALL Research-Practice Partnership Using the PROSPER Framework: A Case Study of the Chicago Alliance for Equity in Computer Science (CAFÉCS), Erin Henrick, Steven McGee, Ronald I. Greenberg, Dale Reed, Don Yanek, Lucia Dettori, and Haley Williamson
Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge, Xiao Hu, Ziteng Jiao, Ayden Kocher, Zhenyu Wu, Junjie Liu, James C. Davis, George K. Thiruvathukal, and Yung-Hsiang Lu
Exploring Naming Conventions (and Defects) of Pre-trained Deep Learning Models in Hugging Face and Other Model Hubs, Wenxin Jiang, Chingwo Cheung, George K. Thiruvathukal, and James C. Davis
PeaTMOSS: Mining Pre-Trained Models in Open-Source Software, Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajiv Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, and James C. Davis
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry, Wenxin Jiang, Nicholas Synovic, Matt Hyattt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hisang Lu, George K. Thiruvathukal, and James C. Davis
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages, Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, and James C. Davis
2023 Chairs’ Welcome, Daniel Moreira, Aparna Bharati, Cecilia Pasquini, and Yassine Yousfi
Using MPI For Distributed Hyper-Parameter Optimization andUncertainty Evaluation, Erik Pautsch, John Li, Silvio Rizzi, Maria Pantoja, and George K. Thiruvathukal
Evaluation of Novel AI Architectures for Uncertainty Estimation, Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, and Maria Pantoja
Optimized Uncertainty Estimation for Vision Transformers: Enhancing Adversarial Robustness and Performance Using Selective Classification, Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, and Maria Pantoja
Optimizing Uncertainty Quantification of Vision Transformers in Deep Learning on Novel AI Architectures, Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, and Maria Pantoja
WebTracker: Real Webbrowsing Behaviors, Daisy Reyes, Eno Dynowski, Taryn Chovan, John Mikos, Eric Chan-Tin, Mohammed Abuhamad, and Shelia Kennison
Lightweight and Effective Website Fingerprinting over Encrypted DNS, Yong Shao, Kenneth Hernandez, Kia Yang, Eric Chan-Tin, and Mohammed Abuhamad
Diversity Similarity Join for Big Data, Yasin N. Silva, Juan Martinez, Pedro Castro Cea, Humberto Razente, and Maria Camila N. Barioni
Predicting Phishing Victimization: Comparing Prior Victimization, Cognitive, and Emotional Styles, and Vulnerable or Protective E-mail Strategies, Loretta Stalans, Eric Chan-Tin, Anna Hart, Madeline Moran, and Shelia Kennison
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics, Nicholas Synovic, Matt Hyattt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, and George K. Thiruvathukal
