Secure Proxy Service Using p-Fibonacci Transformation of Cosine Coefficients on Cloud File Sharing Environment. - Paul Rad; Mohan Muppidi; Aldo S. Jaimes; Sos S. Agaian; Mo M. Jamshidi (HPCC/CSS/ICESS, 2015)

Image segmentation by multi-level thresholding using genetic algorithm with fuzzy entropy cost functions. - Mohan Muppidi; Paul Rad; Sos S. Agaian; Mo M. Jamshidi (IPTA, 2015)

Cloud-based realtime robotic Visual SLAM. - Patrick Benavidez; Mohan Muppidi; Paul Rad; John J. Prevost; Mo M. Jamshidi; Lutcher Brown (SysCon, 2015)

A novel image encryption method to reduce decryption execution time in cloud. - Paul Rad; Mohan Muppidi; Aldo S. Jaimes; Sos S. Agaian; Mo M. Jamshidi (SysCon, 2015)

Image segmentation by multi-level thresholding based on fuzzy entropy and genetic algorithm in cloud. - Mohan Muppidi; Paul Rad; Sos S. Agaian; Mo M. Jamshidi (SoSE, 2015)

Low-latency software defined network for high performance clouds. - Paul Rad; Rajendra V. Boppana; Palden Lama; Gilad Berman; Mo M. Jamshidi (SoSE, 2015)

A Next-Generation Secure Cloud-Based Deep Learning License Plate Recognition for Smart Cities. - Rohith Polishetty; Mehdi Roopaei; Paul Rad (ICMLA, 2016)

A Novel Technique to Enhance Low Resolution CT and Magnetic Resonance Images in Cloud. - Sos S. Agaian; Paul Rad; Rahul Rajendran; Karen Panetta (SmartCloud, 2016)

Securing Cloud Containers Using Quantum Networking Channels. - Brian Todd Kelley; John J. Prevost; Paul Rad; Aqsa Fatima (SmartCloud, 2016)

Image Enhancement via Cloud Cascade Control Based Sub-Image-Clipped Histogram Equalization. - Paul Rad; Sos S. Agaian; Mehdi Roopaei; Saeed Sedighi (SmartCloud, 2016)

Survey of automated software deployment for computational and engineering research. - James O. Benson; John J. Prevost; Paul Rad (SysCon, 2016)

Efficient distributed algorithm for scheduling workload-aware jobs on multi-clouds. - Seyed Ali Miraftabzadeh; Paul Rad; Mo M. Jamshidi (SoSE, 2016)

Secure Cloud Container: Runtime Behavior Monitoring Using Most Privileged Container (MPC). - Vivek Vijay Sarkale; Paul Rad; Wonjun Lee (CSCloud, 2017)

Deep features class activation map for thermal face detection and tracking. - Alicja Kwasniewska; Jacek Ruminski; Paul Rad (HSI, 2017)

Voice biometrics: Deep learning-based voiceprint authentication system. - Andrew Boles; Paul Rad (SoSE, 2017)

Autonomous decision making for a driver-less car. - Nicolas Gallardo; Nicholas Gamez; Paul Rad; Mo M. Jamshidi (SoSE, 2017)

Pedestrian detection system for smart communities using deep Convolutional Neural Networks. - Jonathan Lwowski; Prasanna Kolar; Patrick Benavidez; Paul Rad; John J. Prevost; Mo M. Jamshidi (SoSE, 2017)

A deep learning approach for mapping music genres. - Sharaj Panwar; Arun Das 001; Mehdi Roopaei; Paul Rad (SoSE, 2017)

A deep vision landmark framework for robot navigation. - Abhijith R. Puthussery; Karthik P. Haradi; Berat A. Erol; Patrick Benavidez; Paul Rad; Mo M. Jamshidi (SoSE, 2017)

Cloud of Things in Smart Agriculture: Intelligent Irrigation Monitoring by Thermal Imaging. - Mehdi Roopaei; Paul Rad; Kim-Kwang Raymond Choo (IEEE Cloud Comput., 2017)

Deep learning control for complex and large scale cloud systems. - Mehdi Roopaei; Paul Rad; Mo M. Jamshidi (Intell. Autom. Soft Comput., 2017)

Distributed Algorithm with Inherent Intelligence for Multi-cloud Resource Provisioning. - Seyed Ali Miraftabzadeh; Paul Rad; Mo M. Jamshidi (Intelligent Decision Support Systems for Sustainable Computing, 2017)

AI Thinking for Cloud Education Platform with Personalized Learning. - Paul Rad; Mehdi Roopaei; Nicole Beebe; Mehdi Shadaram; Yoris Au (HICSS, 2018)

Designing and evaluating hybrid storage for high performance cloud computing. - Swanand Mhalagi; Lide Duan; Paul Rad (SysCon, 2018)

Customer Review Analytics using Subjective Loss Function for Conceptual-based Learning. - Seyed Ali Miraftabzadeh; Paul Rad; Mo M. Jamshidi; Jeff Prevost (SoSE, 2018)

Blockchain Design for Trusted Decentralized IoT Networks. - Juah C. Song; Mevlut A. Demir; John J. Prevost; Paul Rad (SoSE, 2018)

Distributed Edge Cloud R-CNN for Real Time Object Detection. - Joshua Herrera; Mevlut A. Demir; Parsa Yousefi; John J. Prevost; Paul Rad (WAC, 2018)

A Wearable IoT with Complex Artificial Perception Embedding for Alzheimer Patients. - Mehdi Roopaei; Paul Rad; John J. Prevost (WAC, 2018)

Image Graph Production by Dense Captioning. - Amin Sahba; Arun Das 001; Paul Rad; Mo M. Jamshidi (WAC, 2018)

Automatic Text Summarization Using Customizable Fuzzy Features and Attention on the Context and Vocabulary. - Ramin Sahba; Nima Ebadi; Mo M. Jamshidi; Paul Rad (WAC, 2018)

A Privacy-Aware Architecture at the Edge for Autonomous Real-Time Identity Reidentification in Crowds. - Seyed Ali Miraftabzadeh; Paul Rad; Kim-Kwang Raymond Choo; Mo M. Jamshidi (IEEE Internet Things J., 2018)

Misinformation Harms During Crises: When The Human And Machine Loops Interact. - Thi Tran; Paul Rad; Rohit Valecha; H. Raghav Rao (IEEE BigData, 2019)

Deep Learning Poison Data Attack Detection. - Henry Chacon; Samuel Silva 003; Paul Rad (ICTAI, 2019)

Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters. - Alicja Kwasniewska; Maciej Szankin; Mateusz Ozga; Jason Wolfe; Arun Das 001; Adam Zajac; Jacek Ruminski; Paul Rad (IECON, 2019)

An Investigation of Misinformation Harms Related to Social Media During Humanitarian Crises. - Thi Tran; Rohit Valecha; Paul Rad; H. Raghav Rao (SKM, 2019)

A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals. - Sharaj Panwar; Paul Rad; John Quarles; Edward J. Golob; Yufei Huang 001 (SMC, 2019)

Generating EEG signals of an RSVP Experiment by a Class Conditioned Wasserstein Generative Adversarial Network. - Sharaj Panwar; Paul Rad; John Quarles; Yufei Huang 001 (SMC, 2019)

3D Object Detection Based on LiDAR Data. - Ramin Sahba; Amin Sahba; Mo M. Jamshidi; Paul Rad (UEMCON, 2019)

Optimized IoT Based Decision Making For Autonomous Vehicles In Intersections. - Amin Sahba; Ramin Sahba; Paul Rad; Mo M. Jamshidi (UEMCON, 2019)

Implicit Life Event Discovery From Call Transcripts Using Temporal Input Transformation Network. - Nima Ebadi; Brandon Lwowski; Mehrad Jaloli; Paul Rad (IEEE Access, 2019)

Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events. - Sharaj Panwar; Paul Rad; Tzyy-Ping Jung; Yufei Huang 001 (CoRR, 2019)

Distributed machine learning cloud teleophthalmology IoT for predicting AMD disease progression. - Arun Das 001; Paul Rad; Kim-Kwang Raymond Choo; Babak Nouhi; Jonathan Lish; James Martel (Future Gener. Comput. Syst., 2019)

Implementation of deep packet inspection in smart grids and industrial Internet of Things: Challenges and opportunities. - Gonzalo De La Torre Parra; Paul Rad; Kim-Kwang Raymond Choo (J. Netw. Comput. Appl., 2019)

Cooperative unmanned aerial vehicles with privacy preserving deep vision for real-time object identification and tracking. - Samuel Henrique Silva; Paul Rad; Nicole Beebe; Kim-Kwang Raymond Choo; Mahesh Umapathy (J. Parallel Distributed Comput., 2019)

Are you emotional or depressed? Learning about your emotional state from your music using machine learning. - Sharaj Panwar; Paul Rad; Kim-Kwang Raymond Choo; Mehdi Roopaei (J. Supercomput., 2019)

Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research. - David Hardage; Peyman Najafirad (NLP4COVID@EMNLP, 2020)

COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning. - Brandon Lwowski; Peyman Najafirad (NLP4COVID@EMNLP, 2020)

Studying Adversarial Attacks on Behavioral Cloning Dynamics. - Garrett Hall; Arun Das 001; John Quarles; Paul Rad (ICTAI, 2020)

Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals. - Rifatul Islam; Yonggun Lee; Mehrad Jaloli; Imtiaz Muhammad; Dakai Zhu 001; Paul Rad; Yufei Huang 001; John Quarles (ISMAR, 2020)

Deep Learning Based Prediction of Signal-to-Noise Ratio (SNR) for LTE and 5G Systems. - Thinh Ngo; Brian Todd Kelley; Paul Rad (WINCOM, 2020)

Human Action Performance Using Deep Neuro-Fuzzy Recurrent Attention Model. - Nihar Bendre; Nima Ebadi; John J. Prevost; Peyman Najafirad (IEEE Access, 2020)

Improving Financial Time Series Prediction Accuracy Using Ensemble Empirical Mode Decomposition and Recurrent Neural Networks. - Henry Chacon; Emre Kesici; Peyman Najafirad (IEEE Access, 2020)

Temporal Graph Traversals Using Reinforcement Learning With Proximal Policy Optimization. - Samuel Henrique Silva; Adel Alaeddini; Peyman Najafirad (IEEE Access, 2020)

Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model. - Nihar Bendre; Nima Ebadi; Paul Rad (CoRR, 2020)

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey. - Arun Das 001; Paul Rad (CoRR, 2020)

Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey. - Samuel Henrique Silva; Peyman Najafirad (CoRR, 2020)

Learning from Few Samples: A Survey. - Nihar Bendre; Hugo Terashima-Marín; Peyman Najafirad (CoRR, 2020)

Stuttering Speech Disfluency Prediction using Explainable Attribution Vectors of Facial Muscle Movements. - Arun Das 001; Jeffrey Mock; Henry Chacon; Farzan Irani; Edward J. Golob; Peyman Najafirad (CoRR, 2020)

A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic. - Nima Ebadi; Peyman Najafirad (CoRR, 2020)

Effect of backdoor attacks over the complexity of the latent space distribution. - Henry D. Chacon; Paul Rad (CoRR, 2020)

Driverless vehicle security: Challenges and future research opportunities. - Gonzalo De La Torre Parra; Paul Rad; Kim-Kwang Raymond Choo (Future Gener. Comput. Syst., 2020)

Detecting Internet of Things attacks using distributed deep learning. - Gonzalo De La Torre Parra; Paul Rad; Kim-Kwang Raymond Choo; Nicole Beebe (J. Netw. Comput. Appl., 2020)

Geospatial Event Detection by Grouping Emotion Contagion in Social Media. - Brandon Lwowski; Paul Rad; Kim-Kwang Raymond Choo (IEEE Trans. Big Data, 2020)

Toward Artificial Emotional Intelligence for Cooperative Social Human-Machine Interaction. - Berat A. Erol; Abhijit Majumdar; Patrick Benavidez; Paul Rad; Kim-Kwang Raymond Choo; Mo M. Jamshidi (IEEE Trans. Comput. Soc. Syst., 2020)

Misinformation Harms: A Tale of Two Humanitarian Crises. - Thi Tran; Rohit Valecha; Paul Rad; H. Raghav Rao (IEEE Trans. Prof. Commun., 2020)

Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. - Arun Das 001; Jeffrey Mock; Yufei Huang 001; Edward J. Golob; Peyman Najafirad (AAAI, 2021)

Generalized Zero-Shot Learning Using Multimodal Variational Auto-Encoder With Semantic Concepts. - Nihar Bendre; Kevin Desai; Peyman Najafirad (ICIP, 2021)

Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention. - Nihar Bendre; Kevin Desai; Peyman Najafirad (SMC, 2021)

Multi-Armed Bandit Regularized Expected Improvement for Efficient Global Optimization of Expensive Computer Experiments With Low Noise. - Rajitha Meka; Adel Alaeddini; Chinonso Ovuegbe; Pranav A. Bhounsule; Peyman Najafirad; Kai Yang 005 (IEEE Access, 2021)

AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment. - Shadi Ghafghazi; Amarie Carnett; Leslie Neely; Arun Das 001; Paul Rad (CoRR, 2021)

Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification. - Samuel Henrique Silva; Arun Das 001; Ian Scarff; Peyman Najafirad (CoRR, 2021)

Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction. - Nima Ebadi; Peyman Najafirad (CoRR, 2021)

Artificial Intelligence in Tactical Human Resource Management: A Systematic Literature Review. - Alexis Megan Votto; Rohit Valecha; Peyman Najafirad; H. Raghav Rao (Int. J. Inf. Manag. Data Insights, 2021)

An Investigation of Misinformation Harms Related to Social Media during Two Humanitarian Crises. - Thi Tran; Rohit Valecha; Paul Rad; H. Raghav Rao (Inf. Syst. Frontiers, 2021)

Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing. - Nima Ebadi; Anthony Rios; Peyman Najafirad (SDP@COLING, 2022)

Measuring Geographic Performance Disparities of Offensive Language Classifiers. - Brandon Lwowski; Paul Rad; Anthony Rios (COLING, 2022)

Supervising Remote Sensing Change Detection Models With 3d Surface Semantics. - Isaac Corley; Peyman Najafirad (ICIP, 2022)

Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification on Social Networks. - Samuel Henrique Silva; Arun Das 001; Adel Alaeddini; Peyman Najafirad (ICWSM, 2022)

Interpretable Federated Transformer Log Learning for Cloud Threat Forensics. - Gonzalo De La Torre Parra; Luis Selvera; Joseph Khoury; Hector Irizarry; Elias Bou-Harb; Paul Rad (NDSS, 2022)

Distributed AI-Driven Search Engine on Visual Internet-of-Things for Event Discovery in the Cloud. - Arun Das 001; Mehdi Roopaei; Mo M. Jamshidi; Peyman Najafirad (SoSE, 2022)

Natural Disaster Analytics using High Resolution Satellite Images. - Nihar Bendre; Neda Zand; Sujan Bhattarai; Isaac Corley; Mo M. Jamshidi; Peyman Najafirad (WAC, 2022)

Detection of Violent Behavior Using Neural Networks and Pose Estimation. - Kevin B. Kwan-Loo; José Carlos Ortiz-Bayliss; Santiago E. Conant-Pablos; Hugo Terashima-Marín; Peyman Najafirad (IEEE Access, 2022)

Violence Detection Approach based on Cloud Data and Neutrosophic Cognitive Maps. - Mohammad Saif Wajid; Hugo Terashima-Marín; Peyman Najafirad; Mohd Anas Wajid (J. Cloud Comput., 2022)

Correction: Violence detection approach based on cloud data and Neutrosophic cognitive maps. - Mohammad Saif Wajid; Hugo Terashima-Marín; Peyman Najafirad; Mohd Anas Wajid (J. Cloud Comput., 2022)

A Memory Network Information Retrieval Model for Identification of News Misinformation. - Nima Ebadi; Mohsen M. Jozani; Kim-Kwang Raymond Choo; Paul Rad (IEEE Trans. Big Data, 2022)

An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph. - Nafis Tanveer Islam; Gonzalo De La Torre Parra; Dylan Manuel; Elias Bou-Harb; Peyman Najafirad (EuroS&P, 2023)

Towards Targeted Obfuscation of Adversarial Unsafe Images using Reconstruction and Counterfactual Super Region Attribution Explainability. - Mazal Bethany; Andrew Seong; Samuel Henrique Silva; Nicole Beebe; Nishant Vishwamitra; Peyman Najafirad (USENIX Security Symposium, 2023)

Single-View Height Estimation with Conditional Diffusion Probabilistic Models. - Isaac Corley; Peyman Najafirad (CoRR, 2023)

ZRG: A High Resolution 3D Residential Rooftop Geometry Dataset for Machine Learning. - Isaac A. Corley; Jonathan Lwowski; Peyman Najafirad (CoRR, 2023)

Can Hierarchical Transformers Learn Facial Geometry? - Paul Young; Nima Ebadi; Arun Das 001; Mazal Bethany; Kevin Desai; Peyman Najafirad (Sensors, 2023)

CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation. - Nima Ebadi; Ruiqi Li; Arun Das 001; Arkajyoti Roy; Papanikolaou Nikos; Peyman Najafirad (Medical Image Anal., 2023)

Forecasting call center arrivals using temporal memory networks and gradient boosting algorithm. - Henry Chacon; Vishwa Koppisetti; David Hardage; Kim-Kwang Raymond Choo; Paul Rad (Expert Syst. Appl., 2023)

Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually. - Mazal Bethany; Brandon Wherry; Nishant Vishwamitra; Peyman Najafirad (AAAI, 2024)

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. - Isaac Corley; Caleb Robinson; Rahul Dodhia; Juan M. Lavista Ferres; Peyman Najafirad (CVPR Workshops, 2024)

Jbeil: Temporal Graph-Based Inductive Learning to Infer Lateral Movement in Evolving Enterprise Networks. - Joseph Khoury; Dorde Klisura; Hadi Zanddizari; Gonzalo De La Torre Parra; Peyman Najafirad; Elias Bou-Harb (SP, 2024)

Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. - Mazal Bethany; Brandon Wherry; Emet Bethany; Nishant Vishwamitra; Anthony Rios; Peyman Najafirad (USENIX Security Symposium, 2024)

ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding. - Isaac Corley; Jonathan Lwowski; Peyman Najafirad (WACV, 2024)

LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward. - Nafis Tanveer Islam; Joseph Khoury; Andrew Seong; Gonzalo De La Torre Parra; Elias Bou-Harb; Peyman Najafirad (CoRR, 2024)

Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery. - Caleb Robinson; Isaac Corley; Anthony Ortiz; Rahul Dodhia; Juan M. Lavista Ferres; Peyman Najafirad (CoRR, 2024)

Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models. - Nafis Tanveer Islam; Mohammad Bahrami Karkevandi; Peyman Najafirad (CoRR, 2024)

Causative Insights into Open Source Software Security using Large Language Code Embeddings and Semantic Vulnerability Graph. - Nafis Tanveer Islam; Gonzalo De La Torre Parra; Dylan Manuel; Murtuza Jadliwala; Peyman Najafirad (CoRR, 2024)

Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. - Mazal Bethany; Brandon Wherry; Emet Bethany; Nishant Vishwamitra; Peyman Najafirad (CoRR, 2024)

Large Language Model Lateral Spear Phishing: A Comparative Study in Large-Scale Organizational Settings. - Mazal Bethany; Athanasios Galiopoulos; Emet Bethany; Mohammad Bahrami Karkevandi; Nishant Vishwamitra; Peyman Najafirad (CoRR, 2024)

On the Consistency of Fairness Measurement Methods for Regression Tasks. - Abdalwahab Almajed; Maryam Tabar; Peyman Najafirad (CoRR, 2024)

Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems. - Daniel Schumacher; Fatemeh Haji; Tara Grey; Niharika Bandlamudi; Nupoor Karnik; Gagana Uday Kumar; Jason Cho-Yu Chiang; Paul Rad; Nishant Vishwamitra; Anthony Rios (CoRR, 2024)

Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking. - Daniele Rege Cambrin; Isaac Corley; Paolo Garza; Peyman Najafirad (CoRR, 2024)

Can Reinforcement Learning Unlock the Hidden Dangers in Aligned Large Language Models? - Mohammad Bahrami Karkevandi; Nishant Vishwamitra; Peyman Najafirad (CoRR, 2024)

Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis. - Nafis Tanveer Islam; Mazal Bethany; Dylan Manuel; Murtuza Jadliwala; Peyman Najafirad (CoRR, 2024)

Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs. - Mazal Bethany; Emet Bethany; Brandon Wherry; Jason Cho-Yu Chiang; Nishant Vishwamitra; Anthony Rios; Peyman Najafirad (CoRR, 2024)

Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs. - Nafis Tanveer Islam; Joseph Khoury; Andrew Seong; Elias Bou-Harb; Peyman Najafirad (CoRR, 2024)

AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing. - Ana Nunez; Nafis Tanveer Islam; Sumit Kumar Jha 001; Peyman Najafirad (CoRR, 2024)

Jailbreaking Large Language Models with Symbolic Mathematics. - Emet Bethany; Mazal Bethany; Juan Arturo Nolazco Flores; Sumit Kumar Jha 001; Peyman Najafirad (CoRR, 2024)

Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent. - Fatemeh Haji; Mazal Bethany; Maryam Tabar; Jason Cho-Yu Chiang; Anthony Rios; Peyman Najafirad (CoRR, 2024)

Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries. - Dylan Manuel; Nafis Tanveer Islam; Joseph Khoury; Ana Nunez; Elias Bou-Harb; Peyman Najafirad (CoRR, 2024)

Lateral Phishing With Large Language Models: A Large Organization Comparative Study. - Mazal Bethany; Athanasios Galiopoulos; Emet Bethany; Mohammad Bahrami Karkevandi; Nicole Beebe; Nishant Vishwamitra; Peyman Najafirad (IEEE Access, 2025)

FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing. - Isaac Corley; Simone Fobi Nsutezo; Anthony Ortiz; Caleb Robinson; Rahul Dodhia; Juan M. Lavista Ferres; Peyman Najafirad (CoRR, 2025)

Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding Metropolises. - Abdalwahab Almajed; Maryam Tabar; Peyman Najafirad (CoRR, 2025)

CAMOUFLAGE: Exploiting Misinformation Detection Systems Through LLM-driven Adversarial Claim Transformation. - Mazal Bethany; Nishant Vishwamitra; Cho-Yu Jason Chiang; Peyman Najafirad (CoRR, 2025)

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation. - Dylan Manuel; Paul Rad (CoRR, 2025)

A Comprehensive Evaluation of the Sensitivity of Density-Ratio Estimation Based Fairness Measurement in Regression. - Abdalwahab Almajed; Maryam Tabar; Peyman Najafirad (CoRR, 2025)