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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: Anticipating Decoder Side-channel Attacks in Fault-tolerant Quantum Computers
arXiv: MindReader: Using LLMs to Encourage Memorable and Secure Password Replacement
arXiv: Cross-Cutting Security Analysis of LLM-Generated Code via Metamorphic Testing and Association Rule Mining
arXiv: Watermark Forensics for Generative Models: An Information-Theoretic Perspective
arXiv: Silent Alarm: A J-Space Protocol for Comparing Danger Recognition Across Models and Quantization Levels
arXiv: A Scalable Cloud-Orchestrated and Service-Oriented Multi-Domain QKD Network with PQC Integration
arXiv: Stability Buys Time: A Re-Keying Game for Encrypted Multi-Agent Control
arXiv: Bulkhead: Automated Semantic Detection and Remediation of Container Escape Vulnerabilities
arXiv: Auditable and Transparent Fully Authenticated Disk Encryption via USB Storage Interposition
arXiv: PVDetector: Detecting Prompt Injection Attacks on Purpose-Specific LLM Agents through Policy-Violation Concept...
arXiv: Explainable-by-Design Audio Deepfake Detection via Wiener-Hopf Linear Prediction
arXiv: How Agentic Is Agentic Commerce? A Population-Scale Measurement of x402 Adoption and Authenticity
arXiv: VanillaBench: The Hidden Accuracy Cost of Adversarial Robustness
arXiv: Open-Source Intelligence for Code Provenance and the Security Patterns that Separate Human and Large-Language-...
arXiv: Open-Source Intelligence and Music Information Retrieval for Geographic Attribution of Musical Affect and the ...
arXiv: SoK: Federated Learning for Intrusion Detection in Vehicular Networks
This publication is a systematic academic review, not a regulatory change. It surveys the current state of federated learning techniques for detecting cyber intrusions in vehicular networks, such a...
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arXiv: Automated Stealthy Wear-Out Attack on Digital Twins With Deep Reinforcement Learning
This publication describes a novel cyberattack method targeting digital twins—virtual replicas of physical systems—using deep reinforcement learning. The attack is designed to degrade system compon...
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arXiv: Can Watermarking Techniques Help Prevent LLM Model Stealing?
This publication from arXiv, dated July 12, 2026, presents a research paper exploring whether watermarking techniques can serve as a technical safeguard against large language model (LLM) model ste...
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arXiv: A Verifier-Centric Conceptual Model for Digital Credential Ecosystems
This publication introduces a conceptual model for digital credential ecosystems that shifts the focus from credential issuers to verifiers, proposing a new framework for how credentials are valida...
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arXiv: Distributed Denial of Science: How Indirect Data Poisoning of AI Systems Can Industrialize Scientific Fraud
This publication, "Distributed Denial of Science," identifies a novel risk under the AI Safety framework: indirect data poisoning of AI systems used in scientific research. The paper demonstrates h...
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