EU Regulatory Changes

This publication, a research paper from arXiv, identifies a new vulnerability in AI agentic systems called cross-session stored prompt injection. Unlike traditional prompt injection attacks that oc...

A new research paper published on arXiv proposes a method for learning causal structures from data while preserving privacy using Fully Homomorphic Encryption (FHE). This technique allows organizat...

This paper, published on arXiv, introduces a novel passive liveness detection method called A-Live, which uses commodity sensors to identify neuromuscular micro-motion signatures. This technology c...

This paper, published on arXiv, introduces a new statistical method for detecting fraudulent trust ratings in online platforms, specifically designed for sparse data environments where users have f...

This publication, dated June 3, 2026, presents a novel machine learning architecture that combines attention mechanisms with Long Short-Term Memory networks to automatically decipher homophonic cip...

This publication, SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models, introduces a novel cryptographic protocol designed to allow multiple parties to query a large...

This paper, published on arXiv, introduces a technical framework called "Evidence Tracing and Execution Provenance" for Large Language Model (LLM) agents. It proposes methods to systematically reco...

A new research paper, NLLog, has been published on arXiv proposing a method for anomaly detection in Security Operations Centers (SOCs) that converts raw system logs into natural language descripti...

This paper, published on arXiv, presents a new research finding on a vulnerability in large language models (LLMs) during the post-training phase. It demonstrates a method of sequential data poison...