Abstract: This paper proposes an innovative adversarial architecture based on Explainable Graph AtTention-embedded autoEncoder (E-GATE), specifically designed to execute fairness manipulation that ...
Abstract: High-speed train brake pads state recognition faces the problems of single data source feature characterization limitation and significant domain shifts under variable working conditions.
Consciousness, and the ways in which it can become impaired after certain brain injuries, are not well understood, making disorders of consciousness (DOC), like coma, vegetative states and minimally ...
CrowdStrike’s latest annual Global Threat Report finds AI-driven attacks up 89%, zero-day exploitation surging, and nation-state actors doubling down on cloud and edge device compromise. Since the ...
Two items involving foreign ownership that were adopted by the FCC last week will have an impact on broadcasters. Attorneys Gregg Skall and Dennis Corbett of Telecommunications Law Professionals have ...
Artificial intelligence (AI) safety has turned into a constant cat-and-mouse game. As developers add guardrails to block harmful requests, attackers continue to try new ways to circumvent them. One of ...
Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...
Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
This repository contains the implementation of topological data analysis (TDA) methods for detecting adversarial examples in deep learning models, particularly focusing on Vision-Language models like ...
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