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AI_SAFETY

EU Regulatory Changes

1574 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: Defending Against Harmful Supervision Hidden in Benign Samples
As a senior EU regulatory compliance analyst, I provide the following summary of this publication for compliance professionals. This paper, published on arXiv, introduces a novel vulnerability in ...
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arXiv: Robust secret storage in networks
This is a technical research paper published on arXiv, not a regulatory change. It proposes a new cryptographic method for robust secret storage across distributed networks, focusing on resilience ...
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arXiv: The Spectrum Strikes Back: Infrared POV Attacks on Traffic Sign Classification
A new preprint from arXiv, titled "The Spectrum Strikes Back: Infrared POV Attacks on Traffic Sign Classification," published on June 29, 2026, demonstrates a novel adversarial attack method that e...
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arXiv: On the Internet, Nobody Knows You're an LLM Bot: Unmasking Web Agents with Multi-Layer Fingerprinting
This paper, published on arXiv, introduces a new method for detecting AI-powered web bots, specifically large language model agents, by using multi-layer fingerprinting. The research demonstrates t...
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arXiv: Discard the Dross and Select the Essential: Pre-query Sample Selection for Black-box Membership Inference Attacks
This paper, published on arXiv, presents a new method for conducting membership inference attacks against machine learning models. Membership inference attacks attempt to determine whether a specif...
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arXiv: Hephaestus: Toward a Cybersecurity AI Scientist
This paper, published on arXiv, introduces Hephaestus, a proposed AI system designed to autonomously conduct cybersecurity research, including vulnerability discovery and exploit generation. While ...
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arXiv: Explainability-Aware Frustum Attack: Exposing Structural Vulnerabilities in LiDAR-Based 3D Object Detectors
This publication, released on 29 June 2026, presents a novel adversarial attack method called the Explainability-Aware Frustum Attack, which targets LiDAR-based 3D object detectors commonly used in...
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arXiv: BPBO: Blindness-Preserving Brickwork Optimization by Certified Region Resynthesis
arXiv: A Sieve-Accelerated Quadrature Method for Exact Privacy Accounting in the 2020 U.S. Decennial Census
arXiv: Rethinking Collaborative Trust for Verifiably Decentralized Blockchain Systems
arXiv: Authentication in Quantum Networks
arXiv: MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems
arXiv: Wireless Backdoor Attack and Defense for Semantic Communications over Multiple Access Channel
arXiv: Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection
arXiv: A Hybrid Framework For Crypto-Ransomware Detection In Enterprise Shared Storage
arXiv: A Multi-task Mixture of Experts Framework for Malware Classification, Packing Detection, and Family Attribution
arXiv: Forensic Trajectory Signatures for Agent Memory Poisoning Detection
arXiv: The Role of Vehicles in Digital Forensic Investigations: A Structured Synthesis of Digital Vehicle Forensic Ch...
arXiv: A Lightweight Post-Quantum Authentication Framework for 5G Base Station Bootstrapping
arXiv: Between Zeros and Ones: Behavioral Characterization Beyond Binary Labeling Across Public ICS Datasets