Edward Bowen

According to our database, Edward Bowen authored at least 26 papers between 2022 and 2024.

Collaborative distances:

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

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

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

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

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

CoRR, 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

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

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 Aguinaga, 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, A. Hu, L. Freeman, Edward Bowen, X. 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