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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: Observability for Delegated Execution in Agentic AI Systems
arXiv: Parent-Hash DAG: A Cost Analysis of Constant-Time Append for On-Chain Registries
arXiv: Clinically Grounded Privacy Evaluation of Medical LMs
arXiv: Safe-RULE: Safe Reinforcement UnLEarning
arXiv: FuseFSS: Efficient Secure LLM Inference with Function Secret Sharing
arXiv: SecureClaw: Clawing Back Control of LLM Agents
arXiv: Model Poisoning Against Federated Model Adaptation with Chain of Bit-Flips
arXiv: Targeting World Models to Compromise Robot Learning Pipelines
arXiv: Now You (Still) See Me: Detecting Evasive Steganographic Payloads in LLMs
arXiv: Fully Oblivious Differential Privacy for Frequency Estimation in the Augmented Shuffle Model with Trusted Proc...
arXiv: Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models
arXiv: Brain-Prompt Injection: A Route-Safety Audit for BCI-LLM Agents
arXiv: Trustworthy Smart Fabs via Professional Proxies: Scaling Safe and Sustainable by Design (SSbD) through Industr...
arXiv: The Injection Paradox: Brand-Level Suppression in Safety-Trained LLM Recommendations via RAG Context Injection
arXiv: Empirical Evaluation of Large Language Models for Migration of Code Fragments to Post-Quantum Cryptography
This publication presents an empirical evaluation of large language models (LLMs) for automatically migrating existing code fragments to post-quantum cryptography (PQC) algorithms. The study assess...
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arXiv: Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics
This paper, published on arXiv, introduces a novel technical method called Manifold Trajectory Kinetics designed to defend large language models against "jailbreak" attacks—prompts that trick AI sy...
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arXiv: Authorized and Verifiable Searchable Encryption Based on Public Key Equality Test for Cloud Storage
This document is a research paper proposing a new cryptographic method for cloud storage, not a formal regulatory change. It introduces an "Authorized and Verifiable Searchable Encryption" scheme b...
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arXiv: Rethinking IoT Intrusion Detection: Augmenting Routing Metrics with Radio Features
This publication, dated June 5, 2026, presents a novel framework for intrusion detection in Internet of Things (IoT) networks. The core change is a proposed methodology that moves beyond traditiona...
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arXiv: The Capacity of Information-Theoretic Secure Aggregation in Federated Learning
This publication from arXiv presents a theoretical analysis of the capacity limits for information-theoretic secure aggregation in federated learning. It does not introduce a new regulation or bind...
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arXiv: A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization
This publication from June 2026 presents a large-scale study on the re-identification risk of speech anonymization techniques, specifically analyzing how well current methods protect individual spe...
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