Next - Location Prediction Using Federated Learning on a Blockchain. - Sadaf Md. Halim; Latifur Khan; Bhavani Thuraisingham (CogMI, 2020)

A Federated Approach for Learning from Electronic Health Records. - Sadaf Md. Halim; Latifur Khan; Kevin W. Hamlen; Bhavani Thuraisingham; Md Delwar Hossain (BigDataSecurity/HPSC/IDS, 2022)

Knowledge Mining in Cybersecurity: From Attack to Defense. - Khandakar Ashrafi Akbar; Sadaf Md. Halim; Yibo Hu 002; Anoop Singhal; Latifur Khan; Bhavani Thuraisingham (DBSec, 2022)

The Design of an Ontology for ATT&CK and its Application to Cybersecurity. - Khandakar Ashrafi Akbar; Sadaf Md. Halim; Anoop Singhal; Basel Abdeen; Latifur Khan; Bhavani Thuraisingham (CODASPY, 2023)

Dual Contrastive Learning Framework for Incremental Text Classification. - Yigong Wang; Zhuoyi Wang; Yu Lin 002; Jinghui Guo; Sadaf Md. Halim; Latifur Khan (EMNLP (Findings), 2023)

Securing Smart Vehicles Through Federated Learning. - Sadaf Md. Halim; Md Delwar Hossain; Latifur Khan; Anoop Singhal; Hiroyuki Inoue; Hideya Ochiai; Kevin W. Hamlen; Youki Kadobayashi (FPS (1), 2023)

WokeGPT: Improving Counterspeech Generation Against Online Hate Speech by Intelligently Augmenting Datasets Using a Novel Metric. - Sadaf Md. Halim; Saquib Irtiza; Yibo Hu 002; Latifur Khan; Bhavani Thuraisingham (IJCNN, 2023)

A Transparent Blockchain-Based College Admissions Platform. - Latifur Khan; Bhavani Thuraisingham; Sadaf Md. Halim (SmartCloud, 2023)

An Automated Vulnerability Detection Framework for Smart Contracts. - Feng Mi; Chen Zhao 010; Zhuoyi Wang; Sadaf Md. Halim; Xiaodi Li 002; Zhouxiang Wu; Latifur Khan; Bhavani Thuraisingham (CoRR, 2023)

ALERT: A Framework for Efficient Extraction of Attack Techniques from Cyber Threat Intelligence Reports Using Active Learning. - Fariha Ishrat Rahman; Sadaf Md. Halim; Anoop Singhal; Latifur Khan (DBSec, 2024)

Handling Non-IID Data in Federated Learning using Metaheuristic Optimization Techniques. - Amin Birashk; Sadaf Md. Halim; Latifur Khan (ICDM, 2024)

Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation. - Sadaf Md. Halim; Chen Zhao 010; Xintao Wu; Latifur Khan; Christan Grant; Fariha Ishrat Rahman; Feng Chen 001 (ACL (Findings), 2025)