Peyman Najafirad

66 papers A* 6A 3B 3Journal 47Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Comprehensive Evaluation of the Sensitivity of Density-Ratio Estimation Based Fairness Measurement in Regression. CoRR Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad
2025	J	`jnl`	CAMOUFLAGE: Exploiting Misinformation Detection Systems Through LLM-driven Adversarial Claim Transformation. CoRR Mazal Bethany, Nishant Vishwamitra, Cho-Yu Jason Chiang, Peyman Najafirad
2025	J	`jnl`	FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing. CoRR Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2025	J	`jnl`	Lateral Phishing With Large Language Models: A Large Organization Comparative Study. IEEE Access Mazal Bethany, Athanasios Galiopoulos, Emet Bethany, Mohammad Bahrami Karkevandi, Nicole Beebe, Nishant Vishwamitra, Peyman Najafirad
2025	J	`jnl`	Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding Metropolises. CoRR Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad
2025	—	`conf`	RASTeR: Robust, Agentic, and Structured Temporal Reasoning. IJCNLP-AACL (long papers) Daniel Schumacher, Fatemeh Haji, Tara Grey, Niharika Bandlamudi, Nupoor Karnik, Gagana Uday Kumar, Cho-Yu Jason Chiang, Peyman Najafirad, Nishant Vishwamitra, Anthony Rios
2025	A*	`conf`	Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction. EMNLP Fatemeh Haji, Mazal Bethany, Cho-Yu Jason Chiang, Anthony Rios, Peyman Najafirad
2025	J	`jnl`	Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction. CoRR Fatemeh Haji, Mazal Bethany, Cho-Yu Jason Chiang, Anthony Rios, Peyman Najafirad
2025	J	`jnl`	Squacc BiLSTM: a framework for dense video captioning using neural knowledge graph and deep learning. Signal Image Video Process. Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Santiago Enrique Conant-Pablos, Mohd Anas Wajid
2024	J	`jnl`	AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing. CoRR Ana Nunez, Nafis Tanveer Islam, Sumit Kumar Jha, Peyman Najafirad
2024	J	`jnl`	Can Reinforcement Learning Unlock the Hidden Dangers in Aligned Large Language Models? CoRR Mohammad Bahrami Karkevandi, Nishant Vishwamitra, Peyman Najafirad
2024	J	`jnl`	Causative Insights into Open Source Software Security using Large Language Code Embeddings and Semantic Vulnerability Graph. CoRR Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manuel, Murtuza Jadliwala, Peyman Najafirad
2024	J	`jnl`	Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models. CoRR Nafis Tanveer Islam, Mohammad Bahrami Karkevandi, Peyman Najafirad
2024	A*	`conf`	Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. USENIX Security Symposium Mazal Bethany, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad
2024	J	`jnl`	Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. CoRR Mazal Bethany, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, Peyman Najafirad
2024	J	`jnl`	Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs. CoRR Mazal Bethany, Emet Bethany, Brandon Wherry, Jason Cho-Yu Chiang, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad
2024	J	`jnl`	Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries. CoRR Dylan Manuel, Nafis Tanveer Islam, Joseph Khoury, Ana Nunez, Elias Bou-Harb, Peyman Najafirad
2024	J	`jnl`	Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs. CoRR Nafis Tanveer Islam, Joseph Khoury, Andrew Seong, Elias Bou-Harb, Peyman Najafirad
2024	J	`jnl`	Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking. CoRR Daniele Rege Cambrin, Isaac Corley, Paolo Garza, Peyman Najafirad
2024	A*	`conf`	Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually. AAAI Mazal Bethany, Brandon Wherry, Nishant Vishwamitra, Peyman Najafirad
2024	J	`jnl`	Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually. CoRR Mazal Bethany, Brandon Wherry, Nishant Vishwamitra, Peyman Najafirad
2024	J	`jnl`	Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent. CoRR Fatemeh Haji, Mazal Bethany, Maryam Tabar, Jason Cho-Yu Chiang, Anthony Rios, Peyman Najafirad
2024	J	`jnl`	Jailbreaking Large Language Models with Symbolic Mathematics. CoRR Emet Bethany, Mazal Bethany, Juan Arturo Nolazco Flores, Sumit Kumar Jha, Peyman Najafirad
2024	A*	`conf`	Jbeil: Temporal Graph-Based Inductive Learning to Infer Lateral Movement in Evolving Enterprise Networks. SP Joseph Khoury, Dorde Klisura, Hadi Zanddizari, Gonzalo De La Torre Parra, Peyman Najafirad, Elias Bou-Harb
2024	J	`jnl`	LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward. CoRR Nafis Tanveer Islam, Joseph Khoury, Andrew Seong, Gonzalo De La Torre Parra, Elias Bou-Harb, Peyman Najafirad
2024	J	`jnl`	Large Language Model Lateral Spear Phishing: A Comparative Study in Large-Scale Organizational Settings. CoRR Mazal Bethany, Athanasios Galiopoulos, Emet Bethany, Mohammad Bahrami Karkevandi, Nishant Vishwamitra, Peyman Najafirad
2024	J	`jnl`	On the Consistency of Fairness Measurement Methods for Regression Tasks. CoRR Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad
2024	—	`conf`	Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CVPR Workshops Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2024	J	`jnl`	Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery. CoRR Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2024	J	`jnl`	Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis. CoRR Nafis Tanveer Islam, Mazal Bethany, Dylan Manuel, Murtuza Jadliwala, Peyman Najafirad
2024	A	`conf`	ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding. WACV Isaac Corley, Jonathan Lwowski, Peyman Najafirad
2023	A	`conf`	An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph. EuroS&P Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manuel, Elias Bou-Harb, Peyman Najafirad
2023	J	`jnl`	An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph. CoRR Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manuel, Elias Bou-Harb, Peyman Najafirad
2023	J	`jnl`	CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation. Medical Image Anal. Nima Ebadi, Ruiqi Li, Arun Das, Arkajyoti Roy, Papanikolaou Nikos, Peyman Najafirad
2023	J	`jnl`	Can Hierarchical Transformers Learn Facial Geometry? Sensors Paul Young, Nima Ebadi, Arun Das, Mazal Bethany, Kevin Desai, Peyman Najafirad
2023	J	`jnl`	Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CoRR Isaac A. Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2023	J	`jnl`	Single-View Height Estimation with Conditional Diffusion Probabilistic Models. CoRR Isaac Corley, Peyman Najafirad
2023	A*	`conf`	Towards Targeted Obfuscation of Adversarial Unsafe Images using Reconstruction and Counterfactual Super Region Attribution Explainability. USENIX Security Symposium Mazal Bethany, Andrew Seong, Samuel Henrique Silva, Nicole Beebe, Nishant Vishwamitra, Peyman Najafirad
2023	J	`jnl`	ZRG: A High Resolution 3D Residential Rooftop Geometry Dataset for Machine Learning. CoRR Isaac A. Corley, Jonathan Lwowski, Peyman Najafirad
2022	A	`conf`	Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification on Social Networks. ICWSM Samuel Henrique Silva, Arun Das, Adel Alaeddini, Peyman Najafirad
2022	J	`jnl`	Correction: Violence detection approach based on cloud data and Neutrosophic cognitive maps. J. Cloud Comput. Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Mohd Anas Wajid
2022	J	`jnl`	Detection of Violent Behavior Using Neural Networks and Pose Estimation. IEEE Access Kevin B. Kwan-Loo, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Peyman Najafirad
2022	—	`conf`	Distributed AI-Driven Search Engine on Visual Internet-of-Things for Event Discovery in the Cloud. SoSE Arun Das, Mehdi Roopaei, Mo Jamshidi, Peyman Najafirad
2022	—	`conf`	Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing. SDP@COLING Nima Ebadi, Anthony Rios, Peyman Najafirad
2022	—	`conf`	Natural Disaster Analytics using High Resolution Satellite Images. WAC Nihar Bendre, Neda Zand, Sujan Bhattarai, Isaac Corley, Mo Jamshidi, Peyman Najafirad
2022	B	`conf`	Supervising Remote Sensing Change Detection Models With 3d Surface Semantics. ICIP Isaac Corley, Peyman Najafirad
2022	J	`jnl`	Supervising Remote Sensing Change Detection Models with 3D Surface Semantics. CoRR Isaac Corley, Peyman Najafirad
2022	J	`jnl`	Violence Detection Approach based on Cloud Data and Neutrosophic Cognitive Maps. J. Cloud Comput. Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Mohd Anas Wajid
2021	J	`jnl`	Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification. CoRR Samuel Henrique Silva, Arun Das, Ian Scarff, Peyman Najafirad
2021	J	`jnl`	Artificial Intelligence in Tactical Human Resource Management: A Systematic Literature Review. Int. J. Inf. Manag. Data Insights Alexis Megan Votto, Rohit Valecha, Peyman Najafirad, H. Raghav Rao
2021	B	`conf`	Generalized Zero-Shot Learning Using Multimodal Variational Auto-Encoder With Semantic Concepts. ICIP Nihar Bendre, Kevin Desai, Peyman Najafirad
2021	J	`jnl`	Generalized Zero-Shot Learning using Multimodal Variational Auto-Encoder with Semantic Concepts. CoRR Nihar Bendre, Kevin Desai, Peyman Najafirad
2021	A*	`conf`	Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. AAAI Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad
2021	J	`jnl`	Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction. CoRR Nima Ebadi, Peyman Najafirad
2021	J	`jnl`	Multi-Armed Bandit Regularized Expected Improvement for Efficient Global Optimization of Expensive Computer Experiments With Low Noise. IEEE Access Rajitha Meka, Adel Alaeddini, Chinonso Ovuegbe, Pranav A. Bhounsule, Peyman Najafirad, Kai Yang
2021	B	`conf`	Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention. SMC Nihar Bendre, Kevin Desai, Peyman Najafirad
2021	J	`jnl`	Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention. CoRR Nihar Bendre, Kevin Desai, Peyman Najafirad
2020	J	`jnl`	A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic. CoRR Nima Ebadi, Peyman Najafirad
2020	—	`conf`	COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning. NLP4COVID@EMNLP Brandon Lwowski, Peyman Najafirad
2020	—	`conf`	Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research. NLP4COVID@EMNLP David Hardage, Peyman Najafirad
2020	J	`jnl`	Human Action Performance Using Deep Neuro-Fuzzy Recurrent Attention Model. IEEE Access Nihar Bendre, Nima Ebadi, John J. Prevost, Peyman Najafirad
2020	J	`jnl`	Improving Financial Time Series Prediction Accuracy Using Ensemble Empirical Mode Decomposition and Recurrent Neural Networks. IEEE Access Henry Chacon, Emre Kesici, Peyman Najafirad
2020	J	`jnl`	Learning from Few Samples: A Survey. CoRR Nihar Bendre, Hugo Terashima-Marín, Peyman Najafirad
2020	J	`jnl`	Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey. CoRR Samuel Henrique Silva, Peyman Najafirad
2020	J	`jnl`	Stuttering Speech Disfluency Prediction using Explainable Attribution Vectors of Facial Muscle Movements. CoRR Arun Das, Jeffrey Mock, Henry Chacon, Farzan Irani, Edward J. Golob, Peyman Najafirad
2020	J	`jnl`	Temporal Graph Traversals Using Reinforcement Learning With Proximal Policy Optimization. IEEE Access Samuel Henrique Silva, Adel Alaeddini, Peyman Najafirad