Edward Bowen - RankMe

60 papers A* 1B 3C 7Misc 8Journal 30Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI Generated Text Detection Using Instruction Fine-tuned Large Language and Transformer-Based Models. CoRR Chinnappa Guggilla, Budhaditya Roy, Trupti Ramdas Chavan, Abdul Rahman, Edward Bowen
2025	J	`jnl`	AI-generated Text Detection: A Multifaceted Approach to Binary and Multiclass Classification. CoRR Harika Abburi, Sanmitra Bhattacharya, Edward Bowen, Nirmala Pudota
2025	Misc	`conf`	Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning. ICNC Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Marc Vucovich, Devin Quinn, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
2025	J	`jnl`	Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures. CoRR Haohui Wang, Jingyuan Qi, Jianpeng Chen, Jun Wu, Lifu Huang, Lecheng Zheng, Kevin Choi, Balaji Veeramani, Edward Bowen, Alison Hu, Tyler Cody, Dawei Zhou
2025	—	`conf`	Deloitte (Drocks) at the Financial Misinformation Detection Challenge Task: Enhancing Misinformation Detection through Instruction-Tuned Models. COLING Workshops Harika Abburi, Alex Chandler, Edward Bowen, Sanmitra Bhattacharya, Nirmala Pudota
2025	B	`conf`	Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning. IWCMC Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
2025	J	`jnl`	Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning. CoRR Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
2025	J	`jnl`	Fraud detection in healthcare claims using machine learning: A systematic review. Artif. Intell. Medicine Anli du Preez, Sanmitra Bhattacharya, Peter A. Beling, Edward Bowen
2025	—	`conf`	MedCodER: A Generative AI Assistant for Medical Coding. NAACL (Industry Track) Krishanu Das Baksi, Elijah Soba, John J. Higgins, Ravi Saini, Jaden Wood, Jane Cook, Jack Scott, Nirmala Pudota, Tim Weninger, Edward Bowen, Sanmitra Bhattacharya
2025	—	`conf`	MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance. KDD (1) Shuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou
2025	Misc	`conf`	Privacy Drift: Evolving Privacy Concerns in Incremental Learning. ICNC Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Aayush Kapoor, Marc Vucovich, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty
2025	B	`conf`	RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks. IWCMC Amit Chakraborty, Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
2025	J	`jnl`	RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks. CoRR Amit Chakraborty, Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
2024	J	`jnl`	Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning. CoRR Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Devin Quinn, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
2024	J	`jnl`	Continual learning and its industrial applications: A selective review. WIREs Data. Mining. Knowl. Discov. J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Sathvik Murli, Laura J. Freeman, Edward Bowen, Xinwei Deng
2024	Misc	`conf`	Cross-Temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach. ICNC Sathvik Murli, Dhruv Nandakumar, Prabhat Kumar Kushwaha, Cheng Wang, Christopher Redino, Abdul Rahman, Shalini Israni, Tarun Singh, Edward Bowen
2024	—	`conf`	Data Composition for Continual Learning in Application of Cyberattack Detection. ASONAM (4) Jiayi Lian, Xueying Liu, Kevin Choi, Balaji Veeramani, Sathvik Murli, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng
2024	J	`jnl`	Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning. CoRR Cheng Wang, Christopher Redino, Abdul Rahman, Ryan Clark, Daniel Radke, Tyler Cody, Dhruv Nandakumar, Edward Bowen
2024	J	`jnl`	Discovering Command and Control Channels Using Reinforcement Learning. CoRR Cheng Wang, Akshay Kakkar, Christopher Redino, Abdul Rahman, Ajinsyam S, Ryan Clark, Daniel Radke, Tyler Cody, Lanxiao Huang, Edward Bowen
2024	C	`conf`	Domain Contextual and Relational Graph Model for Predictive Maintenance. ICMLA Robert Schiller, Trupti Chavan, Akshay Kakkar, Viraj E, Don Williams, Derek Snaidauf, Edward Bowen, Deepak Mittal, Sunil R. Tiyyagura
2024	A*	`conf`	EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. ICML Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou
2024	—	`conf`	FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks. CCWC Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen
2024	Misc	`conf`	Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks. ICNC Dhruv Nandakumar, Devin Quinn, Elijah Soba, Eunyoung Kim, Christopher Redino, Chris Chan, Kevin Choi, Abdul Rahman, Edward Bowen
2024	Misc	`conf`	Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations. CSR Cheng Wang, Christopher Redino, Ryan Clark, Abdul Rahman, Sal Aguiñaga, Sathvik Murli, Dhruv Nandakumar, Roland Rao, Lanxiao Huang, Daniel Radke, Edward Bowen
2024	J	`jnl`	Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations. CoRR Cheng Wang, Christopher Redino, Ryan Clark, Abdul Rahman, Sal Aguiñaga, Sathvik Murli, Dhruv Nandakumar, Roland Rao, Lanxiao Huang, Daniel Radke, Edward Bowen
2024	Misc	`conf`	MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning. ICNC Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty
2024	J	`jnl`	MedCodER: A Generative AI Assistant for Medical Coding. CoRR Krishanu Das Baksi, Elijah Soba, John J. Higgins, Ravi Saini, Jaden Wood, Jane Cook, Jack Scott, Nirmala Pudota, Tim Weninger, Edward Bowen, Sanmitra Bhattacharya
2024	C	`conf`	Pre-train. Mixup and Fine-tune: A Simple Strategy to Handle Domain Shift. ICMLA Haider Ilyas, Harika Abburi, Edward Bowen, Balaji Veeramani
2024	J	`jnl`	Privacy Drift: Evolving Privacy Concerns in Incremental Learning. CoRR Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Aayush Kapoor, Marc Vucovich, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty
2024	—	`conf`	Team Deloitte at PAN: A Novel Approach for Generative AI Text Detection. CLEF (Working Notes) Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2024	C	`conf`	Toward Robust Generative AI Text Detection: Generalizable Neural Model. ICMLA Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2023	J	`jnl`	A Closer Look at Bearing Fault Classification Approaches. CoRR Harika Abburi, Tanya Chaudhary, Haider Ilyas, Lakshmi Manne, Deepak Mittal, Don Williams, Derek Snaidauf, Edward Bowen, Balaji Veeramani
2023	J	`jnl`	A Novel Approach To User Agent String Parsing For Vulnerability Analysis Using Mutli-Headed Attention. CoRR Dhruv Nandakumar, Sathvik Murli, Ankur Khosla, Kevin Choi, Abdul Rahman, Drew Walsh, Scott Riede, Eric Dull, Edward Bowen
2023	Misc	`conf`	A Novel Approach to User Agent String Parsing for Vulnerability Analysis Using Multi-Headed Attention. ICMLC Dhruv Nandakumar, Sathvik Murli, Ankur Khosla, Kevin Choi, Abdul Rahman, Drew Walsh, Scott Riede, Eric Dull, Edward Bowen
2023	J	`jnl`	A Simple yet Efficient Ensemble Approach for AI-generated Text Detection. CoRR Harika Abburi, Kalyani Roy, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2023	B	`conf`	An Ensemble-Based Approach for Generative Language Model Attribution. WISE Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2023	Misc	`conf`	Anomaly Detection via Federated Learning. ITNAC 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
2023	J	`jnl`	Cross-temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach. CoRR Sathvik Murli, Dhruv Nandakumar, Prabhat Kumar Kushwaha, Cheng Wang, Christopher Redino, Abdul Rahman, Shalini Israni, Tarun Singh, Edward Bowen
2023	C	`conf`	Embedding Representations of Diagnosis Codes for Outlier Payment Detection. ICMLA Anvesh Matta, Michael Suesserman, David McNamee, Daniel Lasaga, Dan Olson, Edward Bowen, Sanmitra Bhattacharya
2023	—	`conf`	Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CAMLIS Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen
2023	J	`jnl`	Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CoRR Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen
2023	J	`jnl`	FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks. CoRR Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen
2023	J	`jnl`	Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks. CoRR Dhruv Nandakumar, Devin Quinn, Elijah Soba, Eunyoung Kim, Christopher Redino, Chris Chan, Kevin Choi, Abdul Rahman, Edward Bowen
2023	—	`conf`	Generative AI Text Classification using Ensemble LLM Approaches. IberLEF@SEPLN Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2023	J	`jnl`	Generative AI Text Classification using Ensemble LLM Approaches. CoRR Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2023	—	`conf`	Graph Representational Learning for Internal Audit. ISWC (Posters/Demos/Industry) Sumit Pai, Vivek Kumar Singh, Sanvi Gupta, Pavani Chavali, Siddhartha Siddhartha, Edward Bowen, Sunil R. Tiyyagura
2023	C	`conf`	How far is too far? Identifying suspicious travel patterns in healthcare claims using machine learning. ICMLA Kai Wang, Daniel Lasaga, John Helms, Edward Bowen, Sanmitra Bhattacharya
2023	—	`conf`	Identification of Providers with Similar Risk Profiles in Healthcare Claims Using Graphs. ISDFS Sal Aguiñaga, Daniel Lasaga, Shivashankar Danthuri, John Helms, Edward Bowen, Sanmitra Bhattacharya
2023	J	`jnl`	MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning. CoRR Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty
2023	J	`jnl`	Procedure code overutilization detection from healthcare claims using unsupervised deep learning methods. BMC Medical Informatics Decis. Mak. Michael Suesserman, Samantha Gorny, Daniel Lasaga, John Helms, Dan Olson, Edward Bowen, Sanmitra Bhattacharya
2022	J	`jnl`	Anomaly Detection via Federated Learning. CoRR 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
2022	—	`conf`	Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. DSC Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen
2022	J	`jnl`	Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. CoRR Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen
2022	J	`jnl`	Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm. CoRR J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng
2022	C	`conf`	Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. ICMLA Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen
2022	J	`jnl`	Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. CoRR Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen
2022	J	`jnl`	Lateral Movement Detection Using User Behavioral Analysis. CoRR 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
2022	J	`jnl`	Zero Day Threat Detection Using Graph and Flow Based Security Telemetry. CoRR Christopher Redino, Dhruv Nandakumar, Robert Schiller, Kevin Choi, Abdul Rahman, Edward Bowen, Matthew Weeks, Aaron Shaha, Joe Nehila
2022	C	`conf`	Zero Day Threat Detection Using Metric Learning Autoencoders. ICMLA Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha
2022	J	`jnl`	Zero Day Threat Detection Using Metric Learning Autoencoders. CoRR Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha