| 2025 | ACSAC | AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence. | Md Tanvirul Alam, Dipkamal Bhusal, Salman Ahmad, Nidhi Rastogi, Peter Worth Jr. |
| 2025 | ACSAC | R+R: Revisiting Static Feature-Based Android Malware Detection Using Machine Learning. | Md Tanvirul Alam, Dipkamal Bhusal, Nidhi Rastogi |
| 2025 | RAID | ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection. | Md Tanvirul Alam, Aritran Piplai, Nidhi Rastogi |
| 2025 | SIGIR | Assessing Effective Token Length of Multimodal Models for Text-to-Image Retrieval. | Le Nguyen, Preet Jain, Krutik Panchal, Md Tanvirul Alam, Nidhi Rastogi |
| 2024 | ACSAC | SECURE: Benchmarking Large Language Models for Cybersecurity. | Dipkamal Bhusal, Md Tanvirul Alam, Le Nguyen, Ashim Mahara, Zachary Lightcap, Rodney Frazier, Romy Fieblinger, Grace Long Torales, Benjamin A. Blakely, Nidhi Rastogi |
| 2024 | SACMAT | Defending Multi-Cloud Applications Against Man-in-the-Middle Attacks. | Morgan Reece, Nidhi Rastogi, Theodore Lander, Josiah Dykstra, Sudip Mittal, Andy Sampson |
| 2023 | RAID | Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI. | Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park, Nidhi Rastogi |
| 2023 | WWW | Graph-based Approach for Studying Spread of Radical Online Sentiment. | Le Nguyen, Nidhi Rastogi |
| 2022 | TrustCom | TINKER: A framework for Open source Cyberthreat Intelligence. | Nidhi Rastogi, Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal |
| 2021 | CCS | An Ontology-driven Knowledge Graph for Android Malware. | Christian Ryan, Sharmishtha Dutta, Youngja Park, Nidhi Rastogi |
| 2020 | TrustCom | DANTE: Predicting Insider Threat using LSTM on system logs. | Qicheng Ma, Nidhi Rastogi |