EU Regulatory Changes

This paper, published on arXiv, presents a novel approach to Android malware detection that balances security effectiveness with energy efficiency, a concept termed the "security-energy paradox." I...

A new research paper, "HijackKV: New Threat in Position-Independent KV Cache Reuse," published on arXiv, identifies a novel security vulnerability in large language model (LLM) inference systems. T...

This publication introduces JANUS, a novel framework designed to predict latent safety risks in AI agents operating over extended time horizons. Unlike existing safety tools that focus on immediate...

This paper, published on arXiv on July 22, 2026, introduces a new technical method for defending large language models (LLMs) against backdoor attacks. The technique, called Critical Neuron Isolati...

This publication, a pre-print research paper from arXiv, presents a novel machine learning technique called Chi-MERA designed to enhance the security of satellite authentication systems. It specifi...

This paper, published on arXiv, introduces a new technical framework called SFGA, or Statistics-First Gating Architecture with Adjudicative Escalation, designed to improve the trustworthiness of da...

This publication from July 2026 introduces a novel methodology for automatically detecting and tracking crypto money laundering by analyzing the semantic meaning of transactions, rather than just r...

This publication introduces a technical framework for preventing data leakage in agentic AI systems—autonomous software agents that can act on behalf of users. The paper proposes a method called "p...

This publication from arXiv, dated July 21, 2026, introduces a new algorithmic method for privately approximating graph spectra and cuts using spectral amplifiers. While the paper is a technical co...