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, analyzes a specific regulatory-style reform within a decentralized exchange system, focusing on how changes to solver rewards in an intent-based trading protocol aff...
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This paper, published on arXiv, presents a novel attack vector called SIREN that exploits how large language models (LLMs) are integrated with web-based retrieval-augmented generation (RAG) systems...
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This paper, published on arXiv, presents a technical analysis of how the Network Time Protocol (NTP) pool can be exploited to conduct large-scale IPv6 scanning, effectively mapping active IPv6 addr...
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This paper, published on arXiv, introduces a novel adversarial attack called ISPCloak that weaponizes the image signal processing (ISP) pipeline—the standard hardware and software chain in cameras—...
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This publication introduces PrivDNN, a technical framework for secure multi-party computation in deep learning that uses partial encryption of deep neural networks. While not a regulatory change it...
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This paper, published on arXiv, presents a technical framework for verifying the integrity of Python package builds, addressing a critical gap in software supply chain security. It proposes methods...
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This paper, published on arXiv, proposes a technical architecture for running decentralized compute workloads on untrusted hardware using Intel TDX and encrypted confidential virtual machines. Whil...
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arXiv: Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification
This paper, published on arXiv in July 2026, presents a critical analysis of cryptographic model certification within the AI safety framework. It argues that current certification processes for cry...
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This publication introduces ToolGuardian, a declarative security framework designed to govern how AI agents interact with external tools and APIs. It proposes a structured approach to defining and ...
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