AI_SAFETY
EU Regulatory Changes
371 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, proposes a new technical framework called IntraShuffler designed to improve privacy in federated learning systems, particularly when different participants use varyi...
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A new research paper, "Ghost Tool Calls: Issue-Time Privacy for Speculative Agent Tools," published on arXiv on June 1, 2026, introduces a technical method to enhance privacy in AI agents that use ...
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This paper, published on arXiv, is not a regulatory change but a research publication that provides critical technical context for the EU AI Act’s requirements on transparency and documentation. It...
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This paper, published on arXiv, presents a theoretical model for how competing firms in an oligopoly can share data with each other while preserving privacy, using techniques like differential priv...
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This publication presents a new cryptographic protocol, I-(OT)^2, designed to enable secure, client-optimal oblivious transfer for Internet of Things (IoT) devices. Oblivious transfer is a fundamen...
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This publication, a research paper from arXiv, presents a technical review and open-source simulation framework for multidimensional reconciliation in Continuous-Variable Quantum Key Distribution (...
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A new academic paper titled "SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents" has been published on arXiv, proposing a framework for systematically generating security ...
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This paper, published on arXiv, introduces AgentRedBench, a new framework for testing the security of large language model (LLM) agents that are integrated with third-party software-as-a-service (S...
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This publication introduces PyFEX, a new technical framework designed to detect evasive Python-based cyber threats by systematically exploring all possible execution paths in malicious code. While ...
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This paper, published on arXiv under the AI Safety framework, introduces a formal mathematical model called "Unicity" for verifying the safety of atomic swaps in decentralized systems. Atomic swaps...
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