EU Regulatory Changes

This publication, TriSweep: A Four-Drone Swarm Framework for Electromagnetic Side-Channel Analysis, presents a novel research paper detailing a proof-of-concept system where a coordinated swarm of ...

This publication introduces UNAD+, a novel hybrid artificial intelligence framework designed to detect previously unknown network attacks with enhanced explainability. The framework combines deep l...

This is a pre-print academic paper, not a regulatory change. It proposes a technical framework for using machine learning to enhance security and fraud detection in cardless AI-driven banking syste...

This publication, released on 21 May 2026, presents a detailed case study on building an open-source operational technology (OT) pentesting platform, derived from the LINICS project. While not a re...

This paper, published on arXiv on 21 May 2026, introduces a formal mathematical framework for measuring the exposure of cryptographic systems to threats from High-Dimensional Neural Decryption (HND...

This publication is a research paper from arXiv that critically examines the reliability of current benchmarking methods used to measure the safety and security of autonomous AI agents. It argues t...

This paper, published on arXiv, proposes a new technical method called EnCAgg designed to make federated learning systems more resilient to attacks where malicious participants deliberately corrupt...

This publication, titled "Exact Hidden Paths in Noisy High Dimensional Path Spaces," is a technical research paper from the arXiv computer science repository, not a formal regulatory change. It pre...

This paper, published on arXiv, presents a new technical methodology for implementing activation functions in neural networks on microcontrollers in a way that runs in constant time. This means the...

This paper, published on arXiv, characterizes how the Intel Neural Compute Stick 2, a USB-based AI accelerator, responds to single-pulse electromagnetic fault injection. The research demonstrates t...