EU Regulatory Changes

This paper, published on arXiv, introduces a novel method for running encrypted neural networks without computational overflows, a technical advancement in privacy-preserving AI. It does not repres...

This publication is a research paper, not a regulatory change, but it provides critical evidence for compliance teams assessing AI risk under frameworks like the EU AI Act. The study systematically...

This publication, a research paper titled BYOT-CPS: A Hybrid Cyber-Physical Systems Testbed for IoT Security Assessment and Platform Evaluation, introduces a new open-source testbed designed for ev...

This publication, dated May 21, 2026, presents a research paper on a lightweight machine learning model designed to detect botnet activity using the CTU-13 dataset. While not a regulatory change it...

This document, published on arXiv, introduces CHRONOS, a proposed technical framework for managing multi-agent AI systems that operate in data marketplaces where information changes over time. It i...

This publication, dated May 22, 2026, presents a theoretical analysis of Spherical Hellinger-Kantorovich flows, a mathematical framework for measuring and controlling the stability of probability d...

A new academic paper published on arXiv on May 22, 2026, proposes a technical blueprint for constructing three-pass authenticated key exchange (AKE) protocols under commitment-based models. While t...

This paper, published on arXiv, presents a novel methodology for validating the results of threat modeling exercises by using deliberately vulnerable test applications. Rather than relying solely o...

This publication introduces a novel application of reinforcement learning to automate and accelerate the analysis of security protocols using the Tamarin prover, a formal verification tool. The aut...

This publication introduces a novel technical method for improving the efficiency of privacy-preserving deep learning models using homomorphic encryption. Specifically, the authors propose a kernel...