AI_SAFETY
EU Regulatory Changes
1501 changes tracked across 24 compliance frameworks including DORA, NIS2, GDPR, EU AI Act, Cyber Resilience Act, and more.
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DORA NIS2 GDPR CSRD MaRisk ISO27001 EU_AI_ACT CRA DSA DMA eIDAS2 SOC2 PCI_DSS HIPAA ISO42001 AMLD6 PSD3 DATA_ACT GPSR CER EUDR CVE BREACH AI_SAFETY
This paper, published on arXiv, introduces a new benchmark for evaluating open-set radio frequency fingerprinting systems. These systems identify wireless devices by their unique signal characteris...
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This publication, titled "Unconditional Unclonable Encryption," introduces a theoretical cryptographic breakthrough that could render current encryption standards obsolete. The paper demonstrates a...
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This publication introduces a new consensus mechanism extension called Themis, designed to mitigate Maximal Extractable Value (MEV) risks in application-specific blockchains. MEV refers to the prof...
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This paper, published on arXiv, presents a new security hypothesis and formal model for cryptographically verifiable authorization of autonomous AI agents. It proposes a framework where AI agents c...
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A new academic paper published on arXiv, titled "Advances in STV Margin Computation," presents a novel methodology for calculating safety test verification (STV) margins in AI systems. While not a ...
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This paper, published on arXiv, proposes a technical method for verifying the integrity of AI model inference using GKR (Goldwasser-Kalai-Rothblum) protocols, specifically applied to transformer mo...
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As a senior EU regulatory compliance analyst, I can summarise this publication as follows.
This paper, published on arXiv, introduces a new statistical method for conducting risk-limiting audits (...
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This publication from arXiv, dated July 23, 2026, introduces a new cryptographic protocol called Weak Private Information Retrieval (PIR) for graph-based storage systems. The paper proposes a metho...
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This publication, titled "The Consensus Number of Untraceable Cryptocurrencies," is a technical research paper from arXiv that analyzes the theoretical limits of consensus mechanisms in privacy-foc...
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This paper, published on arXiv, introduces a new auditing framework called IRIS designed to detect two specific risks in Large Language Model (LLM) gateways: model substitution and routing dilution...
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