IEEE

Autoencoder-Enhanced Ensemble Neural Network for Forced Oscillation Source Location in Renewable-Rich Power Systems

Abstract: Conventional energy-based methods struggle to determine the origin of Forced Oscillations (FOs) in renewable-rich systems because of their dependency on Dissipating Energy Flow (DEF) ...
IEEE

GNNLicense: An Active Intellectual Property Protection Technique for Graph Neural Networks based on Autoencoder

Abstract: Graph Neural Networks (GNNs) are widely utilized in areas such as social network analysis, recommendation systems, and fraud detection. Protecting the intellectual property (IP) of GNN ...
GitHub

Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks

This paper is dedicated to the memory of my grandma. This is probably the only paper in my life that was written in a hospital the entire time. This is also at the same time the very first work in my ...
SecurityWeek

Microsoft, Palo Alto Networks Find Many Vulnerabilities by Using AI on Their Own Code

Microsoft’s MDASH discovered 16 of the Patch Tuesday vulnerabilities, and Palo Alto used Mythos to find dozens of flaws. Microsoft said on Tuesday that more than a dozen of the 137 vulnerabilities ...
GitHub

NVlabs/neural-robot-dynamics

In this paper, we propose NeRD (Neural Robot Dynamics), learned robot-specific dynamics models for predicting future states for articulated rigid bodies under contact constraints. NeRD uniquely ...
The Hacker News

Palo Alto PAN-OS Flaw Under Active Exploitation Enables Remote Code Execution

Palo Alto Networks has released an advisory warning that a critical buffer overflow vulnerability in its PAN-OS software has been exploited in the wild. The vulnerability, tracked as CVE-2026-0300, ...