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, presents a new theoretical method for releasing statistical queries from a dataset while achieving pure differential privacy at the conjectured square-root rate. Thi...
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This publication from July 2026 presents a new cryptographic algorithm for constant-time decoding of Gabidulin codes, which are a type of error-correcting code used in post-quantum cryptography. Th...
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This paper, published on arXiv on July 22, 2026, presents a new vulnerability analysis for drone-based federated learning systems. It demonstrates a chained attack methodology where an adversary ca...
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This paper, published on arXiv, presents a detailed ethical analysis of deploying autonomous AI agents for offensive cybersecurity operations. It does not represent a regulatory change from a gover...
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A new preprint from arXiv, published on July 22, 2026, demonstrates that orchestrating multiple open-weight small language models can outperform a single large language model in malware analysis ta...
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This publication, dated July 22, 2026, introduces a novel technical framework for using Integrated Sensing and Communication (ISAC) systems to generate Channel Knowledge Maps (CKMs) for physical la...
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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...
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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...
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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...
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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...
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