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 (DSC, 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 040; Ryan Clark; Daniel Radke; Peter A. Beling; Edward Bowen (ICMLA, 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 (ICMLA, 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)

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)

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)

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; et al. (CoRR, 2022)

Enhancing Exfiltration Path Analysis Using Reinforcement Learning. - Riddam Rishu; Akshay Kakkar; Cheng Wang 040; Abdul Rahman; Christopher Redino; Dhruv Nandakumar; Tyler Cody; Ryan Clark; Daniel Radke; Edward Bowen (CAMLIS, 2023)

Embedding Representations of Diagnosis Codes for Outlier Payment Detection. - Anvesh Matta; Michael Suesserman; David McNamee; Daniel Lasaga; Dan Olson; Edward Bowen; Sanmitra Bhattacharya (ICMLA, 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 (ICMLA, 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 (ICMLC, 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 (ISDFS, 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 (ITNAC, 2023)

Graph Representational Learning for Internal Audit. - Sumit Pai; Vivek Kumar Singh; Sanvi Gupta; Pavani Chavali; Siddhartha Siddhartha; Edward Bowen; Sunil R. Tiyyagura (ISWC (Posters/Demos/Industry), 2023)

Generative AI Text Classification using Ensemble LLM Approaches. - Harika Abburi; Michael Suesserman; Nirmala Pudota; Balaji Veeramani; Edward Bowen; Sanmitra Bhattacharya (IberLEF@SEPLN, 2023)

An Ensemble-Based Approach for Generative Language Model Attribution. - Harika Abburi; Michael Suesserman; Nirmala Pudota; Balaji Veeramani; Edward Bowen; Sanmitra Bhattacharya (WISE, 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)

Cross-temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach. - Sathvik Murli; Dhruv Nandakumar; Prabhat Kumar Kushwaha; Cheng Wang 040; Christopher Redino; Abdul Rahman; Shalini Israni; Tarun Singh; Edward Bowen (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)

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)

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., 2023)

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 (ASONAM (4), 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 (CCWC, 2024)

Team Deloitte at PAN: A Novel Approach for Generative AI Text Detection. - Harika Abburi; Nirmala Pudota; Balaji Veeramani; Edward Bowen; Sanmitra Bhattacharya (CLEF (Working Notes), 2024)

Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations. - Cheng Wang 040; Christopher Redino; Ryan Clark; Abdul Rahman; Sal Aguiñaga; Sathvik Murli; Dhruv Nandakumar; Roland Rao; Lanxiao Huang; Daniel Radke; Edward Bowen (CSR, 2024)

MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning. - Soumya Banerjee 001; Sandip Roy 001; Sayyed Farid Ahamed; Devin Quinn; Marc Vucovich; Dhruv Nandakumar; Kevin Choi; Abdul Rahman; Edward Bowen; Sachin Shetty (ICNC, 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 (ICNC, 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 (ICNC, 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 003 (ICML, 2024)

Toward Robust Generative AI Text Detection: Generalizable Neural Model. - Harika Abburi; Nirmala Pudota; Balaji Veeramani; Edward Bowen; Sanmitra Bhattacharya (ICMLA, 2024)

Pre-train. Mixup and Fine-tune: A Simple Strategy to Handle Domain Shift. - Haider Ilyas; Harika Abburi; Edward Bowen; Balaji Veeramani (ICMLA, 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 (ICMLA, 2024)

Discovering Command and Control Channels Using Reinforcement Learning. - Cheng Wang 040; Akshay Kakkar; Christopher Redino; Abdul Rahman; Ajinsyam S; Ryan Clark; Daniel Radke; Tyler Cody; Lanxiao Huang; Edward Bowen (CoRR, 2024)

Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning. - Cheng Wang 040; Christopher Redino; Abdul Rahman; Ryan Clark; Daniel Radke; Tyler Cody; Dhruv Nandakumar; Edward Bowen (CoRR, 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)

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 (COLING Workshops, 2025)

Privacy Drift: Evolving Privacy Concerns in Incremental Learning. - Sayyed Farid Ahamed; Soumya Banerjee 001; Sandip Roy 001; Aayush Kapoor; Marc Vucovich; Kevin Choi; Abdul Rahman; Edward Bowen; Sachin Shetty (ICNC, 2025)

Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning. - Sayyed Farid Ahamed; Soumya Banerjee 001; Sandip Roy 001; Marc Vucovich; Devin Quinn; Kevin Choi; Abdul Rahman; Alison Hu; Edward Bowen; Sachin Shetty (ICNC, 2025)

Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning. - Sayyed Farid Ahamed; Sandip Roy 001; Soumya Banerjee 001; Marc Vucovich; Kevin Choi; Abdul Rahman; Alison Hu; Edward Bowen; Sachin Shetty (IWCMC, 2025)

RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks. - Amit Chakraborty; Sayyed Farid Ahamed; Sandip Roy 001; Soumya Banerjee 001; Kevin Choi; Abdul Rahman; Alison Hu; Edward Bowen; Sachin Shetty (IWCMC, 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 003 (KDD (1), 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 (NAACL (Industry Track), 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)

AI-generated Text Detection: A Multifaceted Approach to Binary and Multiclass Classification. - Harika Abburi; Sanmitra Bhattacharya; Edward Bowen; Nirmala Pudota (CoRR, 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, 2025)