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Found 3 papers, 1 papers with code
Comprehensive Analysis of Access Control Models in Edge Computing: Challenges, Solutions, and Future Directions
While cloud computing provides a multitude of valuable services for these applications, it generally imposes constraints on latency-sensitive applications due to the significant propagation delays.
Struggle with Adversarial Defense? Try Diffusion
Unlike data-driven classifiers, TMDC, guided by Bayesian principles, utilizes the conditional likelihood from diffusion models to determine the class probabilities of input images, thereby insulating against the influences of data shift and the limitations of adversarial training.
URLBERT:A Contrastive and Adversarial Pre-trained Model for URL Classification
To address this gap, this paper introduces URLBERT, the first pre-trained representation learning model applied to a variety of URL classification or detection tasks.
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