Edward Bowen

According to our database, Edward Bowen authored at least 48 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures.

Haohui Wang, Jingyuan Qi, Jianpeng Chen, Jun Wu, Lifu Huang, Lecheng Zheng, Kevin Choi, Balaji Veeramani, Edward Bowen, Alison Hu, Tyler Cody, Dawei Zhou

CoRR, November, 2025

AI Generated Text Detection Using Instruction Fine-tuned Large Language and Transformer-Based Models.

Chinnappa Guggilla, Budhaditya Roy, Trupti Ramdas Chavan, Abdul Rahman, Edward Bowen

CoRR, July, 2025

AI-generated Text Detection: A Multifaceted Approach to Binary and Multiclass Classification.

Harika Abburi, Sanmitra Bhattacharya, Edward Bowen, Nirmala Pudota

CoRR, May, 2025

Fraud detection in healthcare claims using machine learning: A systematic review.

Anli du Preez, Sanmitra Bhattacharya, Peter A. Beling, Edward Bowen

Artif. Intell. Medicine, 2025

Deloitte (Drocks) at SemEval-2025 Task 3: Fine-Grained Multi-lingual Hallucination Detection Using Internal LLM Weights.

Alex Chandler, Harika Abburi, Sanmitra Bhattacharya, Edward Bowen, Nirmala Pudota

Proceedings of the 19th International Workshop on Semantic Evaluation, 2025

MedCodER: A Generative AI Assistant for Medical Coding.

Krishanu Das Baksi, Elijah Soba, John J. Higgins, Ravi Saini, Jaden Wood, Jane Cook, Jack Scott, Nirmala Pudota, Tim Weninger, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance.

Shuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Instruction-tuned Quantized Small Language Models (SLMs): A Study on Hallucination Detection.

Elijah Soba, Harika Abburi, Nirmala Pudota, Jain Aayush, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the Joint 1st International Workshop on Disinformation and Misinformation in the Age of Generative AI (DISMISS-FAKE 2025) and the 4th International Workshop on Investigating Learning during Web Search (IWILDS 2025) co-located with 18th International ACM WSDM Conference on Web Search and Data Mining (WSDM 2025), 2025

RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks.

Amit Chakraborty, Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty

Proceedings of the International Wireless Communications and Mobile Computing, 2025

Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning.

Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty

Proceedings of the International Wireless Communications and Mobile Computing, 2025

Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning.

Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Marc Vucovich, Devin Quinn, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty

Proceedings of the International Conference on Computing, Networking and Communications, 2025

Privacy Drift: Evolving Privacy Concerns in Incremental Learning.

Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Aayush Kapoor, Marc Vucovich, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty

Proceedings of the International Conference on Computing, Networking and Communications, 2025

Deloitte (Drocks) at the Financial Misinformation Detection Challenge Task: Enhancing Misinformation Detection through Instruction-Tuned Models.

Harika Abburi, Alex Chandler, Edward Bowen, Sanmitra Bhattacharya, Nirmala Pudota

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Continual learning and its industrial applications: A selective review.

J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Sathvik Murli, Laura J. Freeman, Edward Bowen, Xinwei Deng

WIREs Data. Mining. Knowl. Discov., 2024

Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning.

Cheng Wang, Christopher Redino, Abdul Rahman, Ryan Clark, Daniel Radke, Tyler Cody, Dhruv Nandakumar, Edward Bowen

CoRR, 2024

Discovering Command and Control Channels Using Reinforcement Learning.

Cheng Wang, Akshay Kakkar, Christopher Redino, Abdul Rahman, Ajinsyam S, Ryan Clark, Daniel Radke, Tyler Cody, Lanxiao Huang, Edward Bowen

CoRR, 2024

Domain Contextual and Relational Graph Model for Predictive Maintenance.

Robert Schiller, Trupti Chavan, Akshay Kakkar, Viraj E, Don Williams, Derek Snaidauf, Edward Bowen, Deepak Mittal, Sunil R. Tiyyagura

Proceedings of the International Conference on Machine Learning and Applications, 2024

Pre-train. Mixup and Fine-tune: A Simple Strategy to Handle Domain Shift.

Haider Ilyas, Harika Abburi, Edward Bowen, Balaji Veeramani

Proceedings of the International Conference on Machine Learning and Applications, 2024

Toward Robust Generative AI Text Detection: Generalizable Neural Model.

Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the International Conference on Machine Learning and Applications, 2024

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs.

Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks.

Dhruv Nandakumar, Devin Quinn, Elijah Soba, Eunyoung Kim, Christopher Redino, Chris Chan, Kevin Choi, Abdul Rahman, Edward Bowen

Proceedings of the International Conference on Computing, Networking and Communications, 2024

Cross-Temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach.

Sathvik Murli, Dhruv Nandakumar, Prabhat Kumar Kushwaha, Cheng Wang, Christopher Redino, Abdul Rahman, Shalini Israni, Tarun Singh, Edward Bowen

Proceedings of the International Conference on Computing, Networking and Communications, 2024

MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning.

Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty

Proceedings of the International Conference on Computing, Networking and Communications, 2024

Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations.

Cheng Wang, Christopher Redino, Ryan Clark, Abdul Rahman, Sal Aguiñaga, Sathvik Murli, Dhruv Nandakumar, Roland Rao, Lanxiao Huang, Daniel Radke, Edward Bowen

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

Team Deloitte at PAN: A Novel Approach for Generative AI Text Detection.

Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks.

Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

Data Composition for Continual Learning in Application of Cyberattack Detection.

Jiayi Lian, Xueying Liu, Kevin Choi, Balaji Veeramani, Sathvik Murli, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng

Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

2023

Procedure code overutilization detection from healthcare claims using unsupervised deep learning methods.

Michael Suesserman, Samantha Gorny, Daniel Lasaga, John Helms, Dan Olson, Edward Bowen, Sanmitra Bhattacharya

BMC Medical Informatics Decis. Mak., December, 2023

A Simple yet Efficient Ensemble Approach for AI-generated Text Detection.

Harika Abburi, Kalyani Roy, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

CoRR, 2023

A Closer Look at Bearing Fault Classification Approaches.

Harika Abburi, Tanya Chaudhary, Haider Ilyas, Lakshmi Manne, Deepak Mittal, Don Williams, Derek Snaidauf, Edward Bowen, Balaji Veeramani

CoRR, 2023

Cross-temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach.

Sathvik Murli, Dhruv Nandakumar, Prabhat Kumar Kushwaha, Cheng Wang, Christopher Redino, Abdul Rahman, Shalini Israni, Tarun Singh, Edward Bowen

CoRR, 2023

A Novel Approach To User Agent String Parsing For Vulnerability Analysis Using Mutli-Headed Attention.

Dhruv Nandakumar, Sathvik Murli, Ankur Khosla, Kevin Choi, Abdul Rahman, Drew Walsh, Scott Riede, Eric Dull, Edward Bowen

CoRR, 2023

An Ensemble-Based Approach for Generative Language Model Attribution.

Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Generative AI Text Classification using Ensemble LLM Approaches.

Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

Graph Representational Learning for Internal Audit.

Sumit Pai, Vivek Kumar Singh, Sanvi Gupta, Pavani Chavali, Siddhartha Siddhartha, Edward Bowen, Sunil R. Tiyyagura

Proceedings of the ISWC 2023 Posters, 2023

Anomaly Detection via Federated Learning.

Marc Vucovich, Amogh Kamat Tarcar, Penjo Rebelo, Abdul Rahman, Dhruv Nandakumar, Christopher Redino, Kevin Choi, Robert Schiller, Sanmitra Bhattacharya, Balaji Veeramani, Alex West, Edward Bowen

Proceedings of the 33rd International Telecommunication Networks and Applications Conference, 2023

Identification of Providers with Similar Risk Profiles in Healthcare Claims Using Graphs.

Sal Aguiñaga, Daniel Lasaga, Shivashankar Danthuri, John Helms, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the 11th International Symposium on Digital Forensics and Security, 2023

A Novel Approach to User Agent String Parsing for Vulnerability Analysis Using Multi-Headed Attention.

Dhruv Nandakumar, Sathvik Murli, Ankur Khosla, Kevin Choi, Abdul Rahman, Drew Walsh, Scott Riede, Eric Dull, Edward Bowen

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

How far is too far? Identifying suspicious travel patterns in healthcare claims using machine learning.

Kai Wang, Daniel Lasaga, John Helms, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the International Conference on Machine Learning and Applications, 2023

Embedding Representations of Diagnosis Codes for Outlier Payment Detection.

Anvesh Matta, Michael Suesserman, David McNamee, Daniel Lasaga, Dan Olson, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the International Conference on Machine Learning and Applications, 2023

Enhancing Exfiltration Path Analysis Using Reinforcement Learning.

Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen

Proceedings of the Conference on Applied Machine Learning in Information Security, 2023

2022

Anomaly Detection via Federated Learning.

Marc Vucovich, Amogh Kamat Tarcar, Penjo Rebelo, Narendra Gade, Ruchi Porwal, Abdul Rahman, Christopher Redino, Kevin Choi, Dhruv Nandakumar, Robert Schiller, Edward Bowen, Alex West, Sanmitra Bhattacharya, Balaji Veeramani

CoRR, 2022

Lateral Movement Detection Using User Behavioral Analysis.

Deepak Kushwaha, Dhruv Nandakumar, Akshay Kakkar, Sanvi Gupta, Kevin Choi, Christopher Redino, Abdul Rahman, Sabthagiri Saravanan Chandramohan, Edward Bowen, Matthew Weeks, Aaron Shaha, Joe Nehila

CoRR, 2022

Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm.

J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng

CoRR, 2022

Zero Day Threat Detection Using Graph and Flow Based Security Telemetry.

Christopher Redino, Dhruv Nandakumar, Robert Schiller, Kevin Choi, Abdul Rahman, Edward Bowen, Matthew Weeks, Aaron Shaha, Joe Nehila

CoRR, 2022

Zero Day Threat Detection Using Metric Learning Autoencoders.

Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain.

Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs.

Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022