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AI_SAFETY

EU Regulatory Changes

668 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: SoK: Taxonomizing the Low-Level Attack Surface of Modern Web Browsers
arXiv: A data-driven security quantification framework for IoT-based systems
arXiv: DoubtProbe: Black-Box Jailbreak Defense via Structural Verification and Semantic Auditing
arXiv: Measurement Study of Post-Quantum Readiness of Internet: 2026
arXiv: A Formal Resilience Framework for Cyber-Physical Embodied Systems under Device-Level Cyberattacks
arXiv: Transferable Self-Evolving Playbooks for Agentic Security Auditing
arXiv: MPX: A Unified Systolic Array for Matrix and Polynomial Multiplication
arXiv: MIPSBLEED: Uncovering Microarchitectural Timing Leaks in Pervasive Embedded Processors
arXiv: Looking Is Not Picking: An Attention-Segment Account of Tool-Selection Failures in LLM Agents
arXiv: FEnc$^2$: Unifying Data Packing for Efficient Private Inference via Convolution and Architecture-Aware Fragmen...
arXiv: The Proxy Knows Too Much: Sealing LLM API Routers with Attested TEEs
arXiv: From Refusal Geometry to Safety Geometry: Harmfulness--Refusal Coupling under Dynamic Adversarial Fine-Tuning
arXiv: Dynamic Malicious Skills in Agentic AI
arXiv: SPARK: Security Knowledge Priming and Representation-Guided Knowledge Activation for LLM-based Secure Code Gen...
arXiv: did:crdt: Coordination-Free Decentralised Identifiers via Signed CRDTs
arXiv: Scalable Malware Family Classification Using Quantum Kernel Based Machine Learning
arXiv: obliv-clang: Real-World Oblivious Programming in C++
arXiv: When Good Verifiers Go Bad: Self-Improving VLMs Can Regress on New Tasks
This publication, a research paper titled "When Good Verifiers Go Bad," presents findings that are highly relevant to AI safety compliance under the EU AI Act. The study demonstrates that self-impr...
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arXiv: Security Threats and Their Impact on Blockchain Interoperability: Identification and Countermeasures
This document is a research paper published on arXiv, not an official regulatory change. It analyzes security threats to blockchain interoperability, such as bridge attacks and oracle manipulation,...
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arXiv: Detecting Bot Detection: Prevalence, Techniques, and Implications for Web Measurement Research
This publication from June 2026 presents a systematic study on how websites detect and block automated data collection tools, known as bots. The research reveals that bot detection techniques are n...
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