Browsing by Author "Al-Fuqaha, Ala"
Now showing items 1-4 of 4
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Budgeted online selection of candidate iot clients to participate in federated learning
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer from privacy and security concerns since data are collected from ... -
Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models
( IEEE , 2024 , Article)Recent works have shown that deep learning (DL) models can effectively learn city-wide crowd-flow patterns, which can be used for more effective urban planning and smart city management. However, DL models have been known ... -
Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks
( IEEE , 2024 , Article)The rapid evolution of modern automobiles into intelligent and interconnected entities presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) for In-Vehicle Networks (IVNs). This survey ... -
Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)With machine learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all important. In this work, we consider the paradigm where ...
