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Sadaf Md. Halim
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2020 – today
- 2024
- [c9]Fariha Ishrat Rahman, Sadaf Md. Halim, Anoop Singhal, Latifur Khan:
ALERT: A Framework for Efficient Extraction of Attack Techniques from Cyber Threat Intelligence Reports Using Active Learning. DBSec 2024: 203-220 - 2023
- [c8]Khandakar Ashrafi Akbar, Sadaf Md. Halim, Anoop Singhal, Basel Abdeen, Latifur Khan, Bhavani Thuraisingham:
The Design of an Ontology for ATT&CK and its Application to Cybersecurity. CODASPY 2023: 295-297 - [c7]Yigong Wang, Zhuoyi Wang, Yu Lin, Jinghui Guo, Sadaf Md. Halim, Latifur Khan:
Dual Contrastive Learning Framework for Incremental Text Classification. EMNLP (Findings) 2023: 194-206 - [c6]Sadaf Md. Halim, Md Delwar Hossain, Latifur Khan, Anoop Singhal, Hiroyuki Inoue, Hideya Ochiai, Kevin W. Hamlen, Youki Kadobayashi:
Securing Smart Vehicles Through Federated Learning. FPS (1) 2023: 18-35 - [c5]Sadaf Md. Halim, Saquib Irtiza, Yibo Hu, Latifur Khan, Bhavani Thuraisingham:
WokeGPT: Improving Counterspeech Generation Against Online Hate Speech by Intelligently Augmenting Datasets Using a Novel Metric. IJCNN 2023: 1-10 - [c4]Latifur Khan, Bhavani Thuraisingham, Sadaf Md. Halim:
A Transparent Blockchain-Based College Admissions Platform. SmartCloud 2023: 116-123 - [i1]Feng Mi, Chen Zhao, Zhuoyi Wang, Sadaf Md. Halim, Xiaodi Li, Zhouxiang Wu, Latifur Khan, Bhavani Thuraisingham:
An Automated Vulnerability Detection Framework for Smart Contracts. CoRR abs/2301.08824 (2023) - 2022
- [c3]Sadaf Md. Halim, Latifur Khan, Kevin W. Hamlen, Bhavani Thuraisingham, Md Delwar Hossain:
A Federated Approach for Learning from Electronic Health Records. BigDataSecurity/HPSC/IDS 2022: 218-223 - [c2]Khandakar Ashrafi Akbar, Sadaf Md. Halim, Yibo Hu, Anoop Singhal, Latifur Khan, Bhavani Thuraisingham:
Knowledge Mining in Cybersecurity: From Attack to Defense. DBSec 2022: 110-122 - 2020
- [c1]Sadaf Md. Halim, Latifur Khan, Bhavani Thuraisingham:
Next - Location Prediction Using Federated Learning on a Blockchain. CogMI 2020: 244-250
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last updated on 2024-11-15 19:31 CET by the dblp team
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