Abstract: Graph Neural Networks (GNNs) play a significant role and have been widely applied in fraud detection tasks, exhibiting substantial improvements in detection performance compared to ...
Detection and analysis tools for the atomic-lockfile supply-chain attack on the Arch User Repository (AUR). This is a collection of all the scattered resources, especially the ones in the detection ...
Cybersecurity roundup: supply chain threats, AI agent risks, browser-cloning malware, mule networks, endpoint bypasses, and ...
Your weekly cybersecurity recap: a GitHub supply chain worm, an exploited Android flaw, Instagram account takeovers, and a ...
A production-grade, real-time deception detection system leveraging 4 integrated modalities with AI-powered multihead attention fusion and adaptive baseline calibration. Status: DEPLOYMENT READY - ...
EdgeRefNet: An Edge-Guided Refinement Network for Building Change Detection in Remote Sensing Images
Abstract: Building change detection (BCD) has achieved remarkable progress with deep learning, yet precise boundary delineation remains a challenging problem. Existing methods often produce blurry ...
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