Publications

You can also find my articles on my Google Scholar profile.

Conference Papers

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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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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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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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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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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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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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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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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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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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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