most citedPrivacy-Preserving Deep Learning Using Deformable Operators for Secure Task Learning

4 citations · 4 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2024

Designed Dithering Sign Activation for Binary Neural Networks

Brayan Monroy, Juan Estupiñan, Tatiana Gelvez-Barrera +2

Binary Neural Networks emerged as a cost-effective and energy-efficient solution for computer vision tasks by binarizing either network weights or activations. However, common bina…

cs.CV2024★ 4 cited

Privacy-Preserving Deep Learning Using Deformable Operators for Secure Task Learning

Fabian Perez, Jhon Lopez, Henry Arguello

In the era of cloud computing and data-driven applications, it is crucial to protect sensitive information to maintain data privacy, ensuring truly reliable systems. As a result, p…