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Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challenges
Semantic Edge Computing (SEC) and Semantic Communications (SemComs) have been
proposed as viable approaches to achieve real-time edge-enabled intelligence in sixth …
proposed as viable approaches to achieve real-time edge-enabled intelligence in sixth …
Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction
Inverting visual representations within deep neural networks (DNNs) presents a challenging
and important problem in the field of security and privacy for deep learning. The main goal is …
and important problem in the field of security and privacy for deep learning. The main goal is …
A Survey on the Use of Partitioning in IoT-Edge-AI Applications
G Yao, L Gupta - arxiv preprint arxiv:2406.00301, 2024 - arxiv.org
Centralized clouds processing the large amount of data generated by Internet-of-Things
(IoT) can lead to unacceptable latencies for the end user. Against this backdrop, Edge …
(IoT) can lead to unacceptable latencies for the end user. Against this backdrop, Edge …
[PDF][PDF] Build a Computationally Efficient Strong Defense Against Adversarial Example Attacks.
Input transformation techniques have been proposed to defend against adversarial example
attacks in imageclassification systems. However, recent works have shown that, although …
attacks in imageclassification systems. However, recent works have shown that, although …