The Contrast-Sentinel integration enables cross-functional collaboration by providing a shared, real-time view of application-layer risk. With a single source of runtime truth, SOC, AppSec, and ...
To cite the contents of this repository, please cite both the paper and the INFORMS Journal on Computing GitHub repo, using their respective DOIs.
Abstract: Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that GDA is an ...
Abstract: Deep multi-modal clustering (DMC) expects to improve clustering performance by exploiting abundant information available from multiple modalities. However, different modalities usually have ...
Note: My results are slightly worse than original author's results. For best results, please refer to official repository 1. Name Version python 3.7.6 numpy 1.18.5 ...
Introduction: Accurate defect detection in dissimilar metal welds (DMWs) remains a major challenge due to heterogeneous microstructures and imaging noise. Methods: In this study, we propose a novel ...
Games can be a great way to learn real-life skills. Minecraft is often held up as a fantastic tool for encouraging creativity, and Stardew Valley teaches good habits for time management. The Farmer ...
Contrast Security, the leader in Application Detection and Response (ADR), today announced that it has been selected as the winner of the 2025 CyberSecurity Breakthrough Award for Application Security ...
This study investigated how preschoolers’ learning behaviors moderate the relationship between home digital resources and their digital literacy. Digital literacy was conceptualized in two domains: ...
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