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Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning.

, , and . ICC Workshops, page 1359-1364. IEEE, (2024)

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FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots., and . ICMLA, page 1153-1160. IEEE, (2020)FLID: Intrusion Attack and Defense Mechanism for Federated Learning Empowered Connected Autonomous Vehicles (CAVs) Application., , , , , and . DSC, page 1-8. IEEE, (2023)Cascaded Solid State Transformer Structure to Power Fast EV Charging Stations from Medium Voltage Transmission Lines., , , and . ACSSC, page 1359-1364. IEEE, (2020)Assessing Wearable Human Activity Recognition Systems Against Data Poisoning Attacks in Differentially-Private Federated Learning., , , and . SMARTCOMP, page 355-360. IEEE, (2023)Distributed machine learning for collaborative mobile robots: PhD forum abstract.. SenSys, page 798-799. ACM, (2020)Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System., , , , and . SSCI, page 908-914. IEEE, (2022)Distributed Network Optimization for Secure Operation of Interdependent Complex Networks., , , and . CSCI, page 1777-1782. IEEE, (2021)Federated Deep Learning for Heterogeneous Edge Computing., , and . ICMLA, page 1146-1152. IEEE, (2021)Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models., and . CoRR, (2024)Securing User Privacy in Cloud-Based Whiteboard Services Against Health Attribute Inference Attacks., and . IEEE Trans. Artif. Intell., 5 (8): 3872-3885 (August 2024)