Peyman Najafirad

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 47

Top Topics

Semantic Representations

Reinforcement Learning

Top Venues

J. Cloud Comput.

NLP4COVID@EMNLP

Publications

Mazal Bethany, Brandon Wherry, Nishant Vishwamitra, Peyman Najafirad
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually. AAAI (2024)
Mazal Bethany, Athanasios Galiopoulos, Emet Bethany, Mohammad Bahrami Karkevandi, Nishant Vishwamitra, Peyman Najafirad
Large Language Model Lateral Spear Phishing: A Comparative Study in Large-Scale Organizational Settings. CoRR (2024)
Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad
On the Consistency of Fairness Measurement Methods for Regression Tasks. CoRR (2024)
Mazal Bethany, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad
Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. USENIX Security Symposium (2024)
Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery. CoRR (2024)
Daniele Rege Cambrin, Isaac Corley, Paolo Garza, Peyman Najafirad
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking. CoRR (2024)
Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manuel, Murtuza Jadliwala, Peyman Najafirad
Causative Insights into Open Source Software Security using Large Language Code Embeddings and Semantic Vulnerability Graph. CoRR (2024)
Isaac Corley, Jonathan Lwowski, Peyman Najafirad
ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding. WACV (2024)
Mazal Bethany, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, Peyman Najafirad
Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. CoRR (2024)
Nafis Tanveer Islam, Joseph Khoury, Andrew Seong, Gonzalo De La Torre Parra, Elias Bou-Harb, Peyman Najafirad
LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward. CoRR (2024)
Mazal Bethany, Brandon Wherry, Nishant Vishwamitra, Peyman Najafirad
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually. CoRR (2024)
Nafis Tanveer Islam, Mohammad Bahrami Karkevandi, Peyman Najafirad
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models. CoRR (2024)
Mazal Bethany, Andrew Seong, Samuel Henrique Silva, Nicole Beebe, Nishant Vishwamitra, Peyman Najafirad
Towards Targeted Obfuscation of Adversarial Unsafe Images using Reconstruction and Counterfactual Super Region Attribution Explainability. USENIX Security Symposium (2023)
Nima Ebadi, Ruiqi Li, Arun Das, Arkajyoti Roy, Papanikolaou Nikos, Peyman Najafirad
CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation. Medical Image Anal. 86 (2023)
Isaac A. Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CoRR (2023)
Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manuel, Elias Bou-Harb, Peyman Najafirad
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph. CoRR (2023)
Paul Young, Nima Ebadi, Arun Das, Mazal Bethany, Kevin Desai, Peyman Najafirad
Can Hierarchical Transformers Learn Facial Geometry? Sensors 23 (2) (2023)
Isaac Corley, Peyman Najafirad
Single-View Height Estimation with Conditional Diffusion Probabilistic Models. CoRR (2023)
Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manuel, Elias Bou-Harb, Peyman Najafirad
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph. EuroS&P (2023)
Isaac A. Corley, Jonathan Lwowski, Peyman Najafirad
ZRG: A High Resolution 3D Residential Rooftop Geometry Dataset for Machine Learning. CoRR (2023)
Isaac Corley, Peyman Najafirad
Supervising Remote Sensing Change Detection Models with 3D Surface Semantics. CoRR (2022)
Samuel Henrique Silva, Arun Das, Adel Alaeddini, Peyman Najafirad
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification on Social Networks. ICWSM (2022)
Nima Ebadi, Anthony Rios, Peyman Najafirad
Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing. SDP@COLING (2022)
Arun Das, Mehdi Roopaei, Mo M. Jamshidi, Peyman Najafirad
Distributed AI-Driven Search Engine on Visual Internet-of-Things for Event Discovery in the Cloud. SoSE (2022)
Kevin B. Kwan-Loo, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Peyman Najafirad
Detection of Violent Behavior Using Neural Networks and Pose Estimation. IEEE Access 10 (2022)
Isaac Corley, Peyman Najafirad
Supervising Remote Sensing Change Detection Models With 3d Surface Semantics. ICIP (2022)
Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Mohd Anas Wajid
Correction: Violence detection approach based on cloud data and Neutrosophic cognitive maps. J. Cloud Comput. 11 (2022)
Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Mohd Anas Wajid
Violence Detection Approach based on Cloud Data and Neutrosophic Cognitive Maps. J. Cloud Comput. 11 (2022)
Nihar Bendre, Neda Zand, Sujan Bhattarai, Isaac Corley, Mo Jamshidi, Peyman Najafirad
Natural Disaster Analytics using High Resolution Satellite Images. WAC (2022)
Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. AAAI (2021)
Nihar Bendre, Kevin Desai, Peyman Najafirad
Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention. CoRR (2021)
Nima Ebadi, Peyman Najafirad
Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction. CoRR (2021)
Nihar Bendre, Kevin Desai, Peyman Najafirad
Generalized Zero-Shot Learning using Multimodal Variational Auto-Encoder with Semantic Concepts. CoRR (2021)
Samuel Henrique Silva, Arun Das, Ian Scarff, Peyman Najafirad
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification. CoRR (2021)
Nihar Bendre, Kevin Desai, Peyman Najafirad
Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention. SMC (2021)
Alexis Megan Votto, Rohit Valecha, Peyman Najafirad, H. Raghav Rao
Artificial Intelligence in Tactical Human Resource Management: A Systematic Literature Review. Int. J. Inf. Manag. Data Insights 1 (2) (2021)
Nihar Bendre, Kevin Desai, Peyman Najafirad
Generalized Zero-Shot Learning Using Multimodal Variational Auto-Encoder With Semantic Concepts. ICIP (2021)
Rajitha Meka, Adel Alaeddini, Chinonso Ovuegbe, Pranav A. Bhounsule, Peyman Najafirad, Kai Yang
Multi-Armed Bandit Regularized Expected Improvement for Efficient Global Optimization of Expensive Computer Experiments With Low Noise. IEEE Access 9 (2021)
Samuel Henrique Silva, Adel Alaeddini, Peyman Najafirad
Temporal Graph Traversals Using Reinforcement Learning With Proximal Policy Optimization. IEEE Access 8 (2020)
Henry Chacon, Emre Kesici, Peyman Najafirad
Improving Financial Time Series Prediction Accuracy Using Ensemble Empirical Mode Decomposition and Recurrent Neural Networks. IEEE Access 8 (2020)
David Hardage, Peyman Najafirad
Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research. NLP4COVID@EMNLP (2020)
Nihar Bendre, Nima Ebadi, John J. Prevost, Peyman Najafirad
Human Action Performance Using Deep Neuro-Fuzzy Recurrent Attention Model. IEEE Access 8 (2020)
Nihar Bendre, Hugo Terashima-Marín, Peyman Najafirad
Learning from Few Samples: A Survey. CoRR (2020)
Arun Das, Jeffrey Mock, Henry Chacon, Farzan Irani, Edward J. Golob, Peyman Najafirad
Stuttering Speech Disfluency Prediction using Explainable Attribution Vectors of Facial Muscle Movements. CoRR (2020)
Nima Ebadi, Peyman Najafirad
A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic. CoRR (2020)
Samuel Henrique Silva, Peyman Najafirad
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey. CoRR (2020)
Brandon Lwowski, Peyman Najafirad
COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning. NLP4COVID@EMNLP (2020)