Secure scheme during vertical handoff in integrated heterogeneous wireless systems. - Nidhi Rastogi; Qing-An Zeng; Xiaolong Li 007 (WTS, 2011)

The art and design of autonomous machines. - Nidhi Rastogi; Adrian Scoica (XRDS, 2016)

Security and Privacy of performing Data Analytics in the cloud - A three-way handshake of Technology, Policy, and Management. - Nidhi Rastogi; Marie Joan Kristine Gloria; James A. Hendler (CoRR, 2017)

WhatsApp security and role of metadata in preserving privacy. - Nidhi Rastogi; James A. Hendler (CoRR, 2017)

Graph Analytics for anomaly detection in homogeneous wireless networks - A Simulation Approach. - Nidhi Rastogi; James A. Hendler (CoRR, 2017)

Tech for crises. - Rahul R. Divekar; Nidhi Rastogi (XRDS, 2017)

Managing crises, one text at a time. - Rahul R. Divekar; Nidhi Rastogi (XRDS, 2017)

Online censorship, cyberattacks, and access to information. - Nidhi Rastogi (XRDS, 2017)

Serving people in crisis to make the world a better place. - Nidhi Rastogi; Rahul R. Divekar (XRDS, 2017)

A network intrusion detection system (NIDS) based on information centrality to identify systemic cyber attacks in large systems. - Nidhi Rastogi (2018)

FoodKG Enabled Q&A Application. - Steven Haussmann; Yu Chen 022; Oshani Seneviratne; Nidhi Rastogi; James V. Codella; Ching-Hua Chen; Deborah L. McGuinness; Mohammed J. Zaki (ISWC (Satellites), 2019)

Exploring Information Centrality for Intrusion Detection in Large Networks. - Nidhi Rastogi (CoRR, 2019)

Applying Learning and Semantics for Personalized Food Recommendations. - Nidhi Rastogi; Oshani Seneviratne; Dan Gruen; Ching-Hua Chen; Yu Chen 022; Jon Harris; Diya Li; Ananya Subburathinam; Ruisi Jian; Megan Goulet; Yuheng Zhou; Osama Minhas; et al. (ISWC (Demos/Industry), 2020)

DANTE: Predicting Insider Threat using LSTM on system logs. - Qicheng Ma; Nidhi Rastogi (TrustCom, 2020)

Personal Health Knowledge Graphs for Patients. - Nidhi Rastogi; Mohammed J. Zaki (CoRR, 2020)

MALOnt: An Ontology for Malware Threat Intelligence. - Nidhi Rastogi; Sharmishtha Dutta; Mohammed J. Zaki; Alex Gittens; Charu C. Aggarwal (CoRR, 2020)

An Ontology-driven Knowledge Graph for Android Malware. - Christian Ryan; Sharmishtha Dutta; Youngja Park; Nidhi Rastogi (CCS, 2021)

Malware Knowledge Graph Generation. - Sharmishtha Dutta; Nidhi Rastogi; Destin Yee; Chuqiao Gu; Qicheng Ma (CoRR, 2021)

Ontology-driven Knowledge Graph for Android Malware. - Christian Ryan; Sharmishtha Dutta; Youngja Park; Nidhi Rastogi (CoRR, 2021)

TINKER: A framework for Open source Cyberthreat Intelligence. - Nidhi Rastogi; Sharmishtha Dutta; Alex Gittens; Mohammed J. Zaki; Charu C. Aggarwal (TrustCom, 2022)

Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles. - Nidhi Rastogi; Sara Rampazzi; Michael Clifford; Miriam Heller; Matt Bishop; Karl N. Levitt (CoRR, 2022)

CyNER: A Python Library for Cybersecurity Named Entity Recognition. - Md Tanvirul Alam; Dipkamal Bhusal; Youngja Park; Nidhi Rastogi (CoRR, 2022)

Bias Impact Analysis of AI in Consumer Mobile Health Technologies: Legal, Technical, and Policy. - Kristine Joan Kristine Gloria; Nidhi Rastogi; Stevie DeGroff (CoRR, 2022)

SoK: Modeling Explainability in Security Monitoring for Trust, Privacy, and Interpretability. - Dipkamal Bhusal; Nidhi Rastogi (CoRR, 2022)

SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability. - Dipkamal Bhusal; Rosalyn Shin; Ajay Ashok Shewale; Monish Kumar Manikya Veerabhadran; Michael Clifford; Sara Rampazzi; Nidhi Rastogi (ARES, 2023)

Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI. - Md Tanvirul Alam; Dipkamal Bhusal; Youngja Park; Nidhi Rastogi (RAID, 2023)

Graph-based Approach for Studying Spread of Radical Online Sentiment. - Le Nguyen; Nidhi Rastogi (WWW (Companion Volume), 2023)

Systemic Risk and Vulnerability Analysis of Multi-cloud Environments. - Morgan Reece; Theodore Edward Lander Jr.; Matthew Stoffolano; Andy Sampson; Josiah Dykstra; Sudip Mittal; Nidhi Rastogi (CoRR, 2023)

Emergent (In)Security of Multi-Cloud Environments. - Morgan Reece; Theodore Edward Lander Jr.; Sudip Mittal; Nidhi Rastogi; Josiah Dykstra; Andy Sampson (CoRR, 2023)

G-VARS: Towards Personalized Risk Assessments by Analyzing Gun Violence Susceptibility with Personal Knowledge Graphs. - Dipkamal Bhusal; Sara Rampazzi; Michael Clifford; Nidhi Rastogi (IEEE Data Eng. Bull., 2023)

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 (ACSAC, 2024)

PASA: Attack Agnostic Unsupervised Adversarial Detection Using Prediction & Attribution Sensitivity Analysis. - Dipkamal Bhusal; Md Tanvirul Alam; Monish Kumar Manikya Veerabhadran; Michael Clifford; Sara Rampazzi; Nidhi Rastogi (EuroS&P, 2024)

Actionable Cyber Threat Intelligence Using Knowledge Graphs and Large Language Models. - Romy Fieblinger; Md Tanvirul Alam; Nidhi Rastogi (EuroS&P Workshops, 2024)

Comprehensive Analysis of Consistency and Robustness of Machine Learning Models in Malware Detection. - Sreenitha Kasarapu; Dipkamal Bhusal; Nidhi Rastogi; Sai Manoj Pudukotai Dinakarrao (ACM Great Lakes Symposium on VLSI, 2024)

CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence. - Md Tanvirul Alam; Dipkamal Bhusal; Le Nguyen; Nidhi Rastogi (NeurIPS, 2024)

Defending Multi-Cloud Applications Against Man-in-the-Middle Attacks. - Morgan Reece; Nidhi Rastogi; Theodore Lander; Josiah Dykstra; Sudip Mittal; Andy Sampson (SACMAT, 2024)

MORPH: Towards Automated Concept Drift Adaptation for Malware Detection. - Md Tanvirul Alam; Romy Fieblinger; Ashim Mahara; Nidhi Rastogi (CoRR, 2024)

SECURE: Benchmarking Generative Large Language Models for Cybersecurity Advisory. - Dipkamal Bhusal; Md Tanvirul Alam; Le Nguyen; Ashim Mahara; Zachary Lightcap; Rodney Frazier; Romy Fieblinger; Grace Long Torales; Nidhi Rastogi (CoRR, 2024)

Revisiting Static Feature-Based Android Malware Detection. - Md Tanvirul Alam; Dipkamal Bhusal; Nidhi Rastogi (CoRR, 2024)

Assessing Effective Token Length of Multimodal Models for Text-to-Image Retrieval. - Le Nguyen; Preet Jain; Krutik Panchal; Md Tanvirul Alam; Nidhi Rastogi (SIGIR, 2025)

Survey Perspective: The Role of Explainable AI in Threat Intelligence. - Nidhi Rastogi; Devang Dhanuka; Amulya Saxena; Pranjal Mairal; Le Nguyen (CoRR, 2025)

Gun Detection Using Combined Human Pose and Weapon Appearance. - Amulya Reddy Maligireddy; Manohar Reddy Uppula; Nidhi Rastogi; Yaswanth Reddy Parla (CoRR, 2025)

ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection. - Md Tanvirul Alam; Aritran Piplai; Nidhi Rastogi (CoRR, 2025)

Adversarial Patterns: Building Robust Android Malware Classifiers. - Dipkamal Bhusal; Nidhi Rastogi (ACM Comput. Surv., 2025)