Tech Xplore

AI-generated text is overwhelming institutions, setting off a no-win 'arms race' with AI detectors

In 2023, the science fiction literary magazine Clarkesworld stopped accepting new submissions because so many were generated by artificial intelligence. Near as the editors could tell, many submitters ...
SecurityWeek

Living off the AI: The Next Evolution of Attacker Tradecraft

A look at how different MCPs and AI agents can be targeted and how, in practice, enterprise AI becomes part of a ...
SecurityWeek

‘DKnife’ Implant Used by Chinese Threat Actor for Adversary-in-the-Middle Attacks

The DKnife gateway-monitoring and AitM framework is targeting Chinese users’ desktop, mobile, and IoT devices with backdoors.
GitHub

Prometheus Time Series Anomaly Detection with LSTM Autoencoder

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...
GitHub

SVG-T2I: Scaling up Text-to-Image Latent Diffusion Model

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 ...
IEEE

EHO-Q-LGAN: An EHO-Based Q-Learning GAN for the Timely Diagnosis of Diabetic Retinopathy

Abstract: Diabetic Retinopathy (DR) stands as a significant factor in the prevalence of blindness on a global scale, therefore, the timely identification and precise diagnosis of this condition are ...
IEEE

FlexiMA: Robust Motion Artifact Removal in PPG Signals Using an Adversarial Variational Autoencoder

Abstract: Motion artifacts (MA) significantly compromise the quality of photoplethysmographic (PPG) signals in wearable devices, hindering the accurate extraction of vital sign parameters. To address ...