EU Regulatory Changes

A new academic paper published on arXiv proposes a federated learning architecture designed to enhance data privacy and system security. While not a regulatory change itself, this publication signa...

This publication from arXiv presents a technical research paper on adversarial co-learning and explainable robustness in quantum repeater networks, which are critical infrastructure components for ...

This paper, published on arXiv, introduces a technical framework called the Selective File Disclosure System (SFDS), which is designed to allow AI developers to share specific parts of their traini...

A new research paper published on arXiv proposes the use of an interpretable Tsetlin Machine for detecting malware in PDF files. This is not a regulatory change but a technical development in AI-ba...

This publication, titled "Blockchain-Linked Auditable Decision Management for Telecom/IoT Fraud-Control Requests," presents a novel framework that integrates blockchain technology with AI-driven de...

This publication introduces Malaika, a novel AI framework designed to improve malware analysis through a tri-grounded agentic reasoning approach. The paper details how this system uses three distin...

This paper, published on arXiv, introduces SherAgent, a novel framework that uses large language models to automate the investigation of cyberattacks. It proposes an iterative query-filter backtrac...

A new research paper published on arXiv on July 10, 2026, titled "Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection," identifies a novel vulnerability in even...

This paper, published on arXiv, introduces a narrative game called Privacy Detective, designed to help student developers build privacy awareness by engaging directly with legal documents like GDPR...

This paper, SLBench, published on arXiv, introduces a new benchmark for evaluating how large language model (LLM) agents follow logical relationships when executing multi-step tasks. It is not a re...