EU Regulatory Changes

This paper, published on arXiv in July 2026, proposes a new technical framework for how AI agents should request and manage user permissions. It moves beyond simple app-style consent popups to a mo...

This publication introduces WarpGuard, a proposed technical framework for control-flow attestation in heterogeneous computing environments where CPUs and GPUs execute code together. Control-flow at...

This paper, published on arXiv on July 15, 2026, introduces a new class of AI failure mode termed "protective capacity hallucination." Unlike standard hallucinations where a model invents facts, th...

A new preprint from arXiv, published on July 15, 2026, presents findings from the UTS at ELOQUENT 2026 Voight-Kampff study, demonstrating that recent structural shifts in AI-generated writing can n...

This publication from arXiv presents a new technical proposal for a multivariate cryptography-based anonymous certificate scheme. While not a regulatory change itself, it signals a potential shift ...

This paper, published on arXiv, presents new research demonstrating that training AI image generation models on a mix of real and synthetic data can actually increase, rather than reduce, privacy r...

This paper, published on arXiv, introduces a new technique called CODA designed to mitigate a specific type of AI model vulnerability known as "ColumnDisturb." ColumnDisturb refers to a failure mod...

This publication is not a regulatory change but a research paper from the ENOFLAG team, summarizing lessons learned from 20 years of Capture The Flag (CTF) cybersecurity competitions. While it does...

This publication from July 2026 introduces a new adversarial prompting framework designed to systematically test and assess the safety of AI systems. The framework provides a structured methodology...

This publication introduces a new privacy framework called ReBound, designed for interactive AI decision-support systems. It addresses a critical gap in current privacy regulations: the risk of dat...