Ahmed Imteaj
Orcid: 0000-0002-6975-3997
According to our database1,
Ahmed Imteaj authored at least 50 papers
between 2019 and 2026.
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Bibliography
2026
Quantifying Robustness and Sustainability Trade-Off in Federated Adversarial Learning for Cyber-Physical Systems.
IEEE Trans. Sustain. Comput., 2026
2025
Adaptive and Robust Data Poisoning Detection and Sanitization in Wearable IoT Systems using Large Language Models.
CoRR, November, 2025
IEEE Trans. Artif. Intell., August, 2025
Evaluating Sustainability and Social Costs of Adversarial Training in Machine Learning.
IEEE Consumer Electron. Mag., May, 2025
Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions.
CoRR, March, 2025
Sticks and stones may break my bones, but words will never hurt me! - Navigating the cybersecurity risks of generative AI.
AI Soc., March, 2025
Exploring Audio Editing Features as User-Centric Privacy Defenses Against Emotion Inference Attacks.
CoRR, January, 2025
Proceedings of the International Conference on Machine Learning and Applications, 2025
Privacy-Preserving Multimodal Stress Detection from Wearables with Attention Fusion and Federated Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2025
Proceedings of the International Conference on Machine Learning and Applications, 2025
Pose to Protect: Federated Skeleton-Based Anomaly Detection for Privacy-Conscious Video Surveillance.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Towards Trustworthy Autonomous Vehicles with Vision-Language Models Under Targeted and Untargeted Adversarial Attacks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
Benchmarking Large-Language Models for Resource-Efficient Medical AI for Edge Deployment.
Proceedings of the 2025 AAAI Spring Symposium Series, 2025
2024
Securing User Privacy in Cloud-Based Whiteboard Services Against Health Attribute Inference Attacks.
IEEE Trans. Artif. Intell., August, 2024
IEEE Consumer Electron. Mag., March, 2024
Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models.
CoRR, 2024
Context-Aware Spatiotemporal Poisoning Attacks on Wearable-Based Activity Recognition.
Proceedings of the IEEE INFOCOM 2024, 2024
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency.
Proceedings of the International Conference on Machine Learning and Applications, 2024
FLAMINGO: Adaptive and Resilient Federated Meta-Learning against Adversarial Attacks.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024, 2024
Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning.
Proceedings of the IEEE International Conference on Communications Workshops, 2024
Towards Communication-Efficient Federated Learning Through Particle Swarm Optimization and Knowledge Distillation.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024
WatchOverGPT: A Framework for Real-Time Crime Detection and Response Using Wearable Camera and Large Language Model.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024
Enhancing Road Safety Through Cost-Effective, Real-Time Monitoring of Driver Awareness with Resource-Constrained IoT Devices.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
A Novel Scalable Reconfiguration Model for the Postdisaster Network Connectivity of Resilient Power Distribution Systems.
Sensors, February, 2023
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-Constrained Computing.
IEEE Internet Things J., 2023
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer.
CoRR, 2023
Assessing Wearable Human Activity Recognition Systems Against Data Poisoning Attacks in Differentially-Private Federated Learning.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023
FLID: Intrusion Attack and Defense Mechanism for Federated Learning Empowered Connected Autonomous Vehicles (CAVs) Application.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023
2022
Intell. Syst. Appl., 2022
IEEE Internet Things J., 2022
CoRR, 2022
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
2021
Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-75024-4, 2021
Data analytics to evaluate the impact of infectious disease on economy: Case study of COVID-19 pandemic.
Patterns, 2021
FedPARL: Client Activity and Resource-Oriented Lightweight Federated Learning Model for Resource-Constrained Heterogeneous IoT Environment.
Frontiers Commun. Networks, 2021
Exploiting Federated Learning Technique to Recognize Human Activities in Resource-Constrained Environment.
Proceedings of the Intelligent Human Computer Interaction, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Distributed Network Optimization for Secure Operation of Interdependent Complex Networks.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
2020
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art.
CoRR, 2020
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Cascaded Solid State Transformer Structure to Power Fast EV Charging Stations from Medium Voltage Transmission Lines.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks.
CoRR, 2019
Quantifying location privacy in permissioned blockchain-based internet of things (IoT).
Proceedings of the MobiQuitous 2019, 2019