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AI_SAFETY

EU Regulatory Changes

1501 changes tracked across 24 compliance frameworks including DORA, NIS2, GDPR, EU AI Act, Cyber Resilience Act, and more.

All 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
arXiv: Development of Vision-Language Model-based GNSS Spoofing Detection for Autonomous Vehicle Navigation
A new research paper published on arXiv proposes a method for detecting GNSS spoofing attacks in autonomous vehicles using a vision-language model. This is not a regulatory change itself, but it si...
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arXiv: Strategies for quantum-enabled Bitcoin miners
A new preprint from arXiv, titled "Strategies for quantum-enabled Bitcoin miners," has been published under the AI_SAFETY framework. This paper explores how quantum computing could be used to disru...
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arXiv: ADVERSARIAL: And-Inverter Graph-Assisted Hardware Trojan Detection At Scale
This publication, dated July 26, 2026, introduces a novel method for detecting hardware Trojans—malicious circuit modifications—using And-Inverter Graphs (AIGs) combined with adversarial machine le...
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arXiv: On a necessary condition for the matching cryptosystem stability
This paper, published on arXiv under the AI Safety framework, introduces a new mathematical condition for ensuring the stability of matching cryptosystems, which are algorithms used to pair users o...
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arXiv: TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Gene...
A new academic paper, TriShieldRAG, proposes a three-layer defense framework designed to protect Retrieval-Augmented Generation (RAG) systems from knowledge corruption, such as poisoned or manipula...
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arXiv: Bridging the Epistemic Gap in the Invisible Internet: Extended Mathematical Modeling and Empirical Characteriz...
arXiv: Denial of Deadline: Network-Driven Accuracy Collapse in Distributed Inference Pipelines
arXiv: Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents
arXiv: Modeling Local Exploit Hazard - A Bayesian Framework for Quantifying Exploit Risk and Operational Efficiency
arXiv: TRACE-CTI: Auditable Post-Extraction Governance of TTP Claims with Knowledge Graphs
arXiv: BettiSplit: Topology-Guided Privacy-Aware Split Learning Against Feature Inversion and Gradient Leakage
arXiv: VulnGym: Evaluating Vulnerability Management Strategies against Advanced Persistent Threats
arXiv: Near-Tight Theoretical Bounds for Incentive Compatibility in Bitcoin Mining
arXiv: Occluded Oculus: Operationalizing Stylistic Obscurement
arXiv: When LLM Defenses Backfire: Characterizing Safety, Performance, and Cost Trade-offs
arXiv: DeepFaith: Evidence-Grounded LLMs for Faithful Incident Reporting in Multi-Stage APT Defense
arXiv: Quantum-Level Crosstalk Characterization of a 16x16 MEMS Optical Switch for Dynamic Quantum Communications
arXiv: New perspectives for code locality in the rank metric
arXiv: EXE-Bench: Ranking the Tradeoffs of AI-based Windows Malware Detectors for Real-World Usability
arXiv: Just Testing, Move Along: Evasion of LLM-based System Log Interpretation by Prompt Injection