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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
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publications
PoRCH: A Novel Consensus Mechanism for Blockchain-Enabled Future SCADA Systems in Smart Grids and Industry 4.0
Published in IEEE IEMTRONICS 2020, 2020
A lightweight consensus mechanism for blockchain-enabled SCADA systems in smart grids and Industry 4.0.
Recommended citation: M. T. Hossain, S. Badsha, and H. Shen, “PoRCH: A Novel Consensus Mechanism for Blockchain-Enabled Future SCADA Systems in Smart Grids and Industry 4.0,” IEEE IEMTRONICS, 2020, pp. 1–7, doi: 10.1109/IEMTRONICS51293.2020.9216438.
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DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning
Published in IEEE MSN 2021, 2021
Stealthy poisoning attacks that exploit differential privacy in federated learning.
Recommended citation: M. T. Hossain, S. Islam, S. Badsha, and H. Shen, “DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning,” IEEE International Conference on Mobility, Sensing and Networking (MSN), 2021.
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Privacy, Security and Utility Analysis of Differentially Private CPES Data
Published in IEEE CNS 2021, 2021
Tradeoff analysis of privacy, security, and utility for differentially private CPES datasets.
Recommended citation: M. T. Hossain, S. Badsha, and H. Shen, “Privacy, Security and Utility Analysis of Differentially Private CPES Data,” IEEE Conference on Communications and Network Security (CNS), 2021.
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Vulnerability Characterization and Privacy Quantification for Cyber-Physical Systems
Published in IEEE CPSCom 2021, 2021
Characterizing vulnerabilities and quantifying privacy risks in cyber-physical systems.
Recommended citation: A. Bhattacharjee, S. Badsha, M. T. Hossain, C. Konstantinou, et al., “Vulnerability Characterization and Privacy Quantification for Cyber-Physical Systems,” IEEE International Conference on Cyber, Physical and Social Computing (CPSCom), 2021.
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BRNES: Enabling Security and Privacy-aware Experience Sharing in Multiagent Robotic and Autonomous Systems
Published in IEEE/RSJ IROS 2023, 2023
Security- and privacy-aware experience sharing for multi-agent robotic and autonomous systems.
Recommended citation: M. T. Hossain, H. M. La, and S. Badsha, “BRNES: Enabling Security and Privacy-aware Experience Sharing in Multiagent Robotic and Autonomous Systems,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
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Hiding in Plain Sight: Differential Privacy Exploited Backdoor Attacks in Federated Learning
Published in International Conference on Machine Learning and Cybernetics (ICMLC) 2023, 2023
Backdoor/poisoning strategies that exploit differential privacy mechanisms in federated learning.
Recommended citation: M. T. Hossain and H. M. La, “Hiding in Plain Sight: Differential Privacy Exploited Backdoor Attacks in Federated Learning,” International Conference on Machine Learning and Cybernetics (ICMLC), 2023.
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A resource allocation scheme for energy demand management in 6g-enabled smart grid
Published in IEEE ISGT NA 2023, 2023
Demand management for smart grids in 6G contexts using reinforcement learning.
Recommended citation: S. Islam, I. Zografopoulos, M. T. Hossain, S. Badsha, C. Konstantinou, et al., “A resource allocation scheme for energy demand management in 6g-enabled smart grid,” IEEE ISGT North America (ISGT NA), 2023.
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Exploiting Gaussian Noise Variance for Dynamic Differential Poisoning in Federated Learning
Published in IEEE Transactions on Artificial Intelligence (TAI) 2024, 2024
Differentially private federated learning under adaptive poisoning that leverages Gaussian noise variance.
Recommended citation: M. T. Hossain, et al., “Exploiting Gaussian Noise Variance for Dynamic Differential Poisoning in Federated Learning,” IEEE Transactions on Artificial Intelligence (IEEE TAI), 2024.
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RAMPART: Reinforcing Autonomous Multi-Agent Protection through Adversarial Resistance in Transportation
Published in ACM Journal of Autonomous Transportation Systems, 2024
Adversarially robust multi-agent protection for autonomous transportation systems.
Recommended citation: M. T. Hossain, et al., “RAMPART: Reinforcing Autonomous Multi-Agent Protection through Adversarial Resistance in Transportation,” ACM Journal of Autonomous Transportation Systems, 2024. https://doi.org/10.1145/3643137
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CRADLE: Cooperative Adaptive Decentralized Learning and Execution for UAV Network to Monitor Wildfire Front
Published in IEEE CASE 2025, 2025
UAV networking for wildfire-front monitoring with cooperative, adaptive, decentralized learning and execution.
Recommended citation: G. Srikar, M. T. Hossain, B. Nguyen, T. Nguyen, T. X. Nghiem, et al., “CRADLE: Cooperative Adaptive Decentralized Learning and Execution for UAV network to monitor Wildfire Front,” IEEE International Conference on Automation Science and Engineering (CASE), Aug 17–21, 2025, Los Angeles, CA, USA.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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