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)

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)

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)

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)

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)

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)

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)

Retrieval Augmented Anomaly Detection (RAAD): Nimble Model Adjustment Without Retraining. - Sam Pastoriza; Iman Yousfi; Christopher Redino; Marc Vucovich; Abdul Rahman; Sal Aguiñaga; Dhruv Nandakumar (ISDFS, 2025)