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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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About me
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Posts
Research Statement
Published:
Developing computational algorithms that (1) reduce the need for large-scale annotated data to train NLP models from scratch; (2) adapt to new domains and languages with fewer labeled examples.
portfolio
publications
On Acyclic Colorings of Graphs
Published in 2012 15th International Conference on Computer and Information Technology (ICCIT), 2012
Ahmed, A. Reyan; Islam, Mazharul; Rahman, M. Saidur
Conceal: A strategy composition for resilient cyber deception-framework, metrics and deployment
Published in 2018 IEEE Conference on Communications and Network Security (CNS), 2018
Duan, Qi; Al-Shaer, Ehab; Islam, Mazharul; Jafarian, Haadi
CLIPS/ActiveSDN for automated and safe cybersecurity course-of-actions orchestration
Published in Proceedings of the 6th Annual Symposium on Hot Topics in the Science of Security, 2019
Islam, Md Mazharul; Al-Shaer, Ehab; Dutta, Ashutosh.
Specification-driven Moving Target Defense Synthesis
Published in Proceedings of the 6th ACM Workshop on Moving Target Defense, 2019
Islam, Md Mazharul; Duan, Qi; Al-Shaer, Ehab.
Active Defense Against Social Engineering: The Case for Human Language Technology
Published in Proceedings for the First International Workshop on Social Threats in Online Conversations: Understanding and Management, 2020
Dalton, A.; Islam, Mazharul; et al.
Active Deception Framework: An Extensible Development Environment for Adaptive Cyber Deception
Published in 2020 IEEE Secure Development (SecDev), 2020
Islam, Md Mazharul; Al-Shaer, Ehab.
Email Address Mutation for Proactive Deterrence Against Lateral Spear-phishing Attack
Published in EAI SecureComm 2020 – 16th EAI International Conference on Security and Privacy in Communication Networks, 2020
Islam, Md Mazharul; Al-Shaer, Ehab; Rahim, M.A.Basit.
talks
Multi-Task Machine Learning
Published:
I will talk about multi-task learning methods and some recent works in deep learning.
Context Attentive Document Ranking and Query Suggestion
Published:
In this talk, I will introduce a Context Attentive Document Ranking and Query Suggestion Model based on a two-level hierarchical recurrent neural network to learn search context representation of individual queries, search tasks, and corresponding dependency structure.
teaching
Lecturer at BUET
Undergraduate course, Bangladesh University of Engineering and Technology, 2012
I have taught 3 theory course and more than 10 Lab courses at BUET CSE department at the undergraduate level.
Teaching Assistant at UIUC
Graduate course, University of Illinois Urbana Champaign, 2017
I worked as one of the teaching assistants of CS 510 (Advanced Information Retrieval) Course in this semester under Prof. Chengxiang Zhai. The details of the course schedule can be found here