IEEE

Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection

Abstract: Recent advances in diffusion models have spurred research into their application for Reconstruction-based unsupervised anomaly detection. However, these methods may struggle with maintaining ...
IEEE

Securing Federated Learning Against Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection on Local Updates

Abstract: Current defense mechanisms against model poisoning attacks in federated learning (FL) systems have proven effective up to a certain threshold of malicious clients (e.g., 25% to 50%). In this ...

SKYX Announces Collaboration with NVIDIA on its Connect Program, Cloud, and AI Ecosystem for its Patented Ceiling All-In-One Smart Home Platform and Hub

NVIDIA Connect Supports Advanced Technology Companies Developing AI-powered Products Part of NVIDIA’s Connect Program is to ...

How Blockchain And AI Will Create The New Era Of Secure Infrastructure

Together, they create an infrastructure layer designed for a world where attacks are automated, data is abundant and digital ...