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AI_SAFETY

EU Regulatory Changes

1525 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: Slow and Steady: Preventing MEV with Verifiable Delays
The publication introduces a new technical framework for mitigating Maximal Extractable Value (MEV) in blockchain systems by using verifiable delays, which are cryptographic mechanisms that force a...
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arXiv: Homomorphic Aggregation of Continuous-Variable GKP States
A new academic paper, published on arXiv on August 13, 2026, details a theoretical breakthrough in quantum computing: the homomorphic aggregation of continuous-variable GKP (Gottesman-Kitaev-Preski...
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arXiv: Smart Contract Invariants Protect Against Cybercriminals
A new research paper, published on arXiv on August 13, 2026, proposes using formal invariants—mathematical conditions that must always hold true—as a defensive mechanism against cybercriminal explo...
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arXiv: A Commitment-Based Hybrid Post-Quantum Cryptographic Model for Multi-File Cloud Storage
arXiv: Operationalizing Cyber Threat Intelligence with GraphRAG
arXiv: InSPECtor: Improving SLEIGH Processor Specification Veracity via Proxy
arXiv: InterSAGE: The Secure and Verifiable Interoperability Protocol for An Internet of Agents
arXiv: RAGSieve: Self-Referenced Local Contrast for Knowledge-Poison Detection in Retrieval-Augmented Generation
arXiv: OmniSphinx: Active Mix Networks (Extended Version)
arXiv: ATOBench: Tracing How Autonomous Penetration-Testing Agents Verify Vulnerabilities When Target Evidence Lies
arXiv: Understanding Backdoor Vulnerabilities in Vertical Federated Learning: The Gap Between Research and Practice
arXiv: Technical Report on Resilient and Secure Large-Scale Energy Internet Systems
arXiv: Beyond Visual Evidence: Revealing and Mitigating Relational Privacy Leakage in Document MLLMs
arXiv: Adversarial Robustness in Smishing Detection: A Comparative Analysis of Adversarial Fragility in Classical vs....
arXiv: Labels Are Not Endpoints: Treatment Leakage and Construct Validity in MCP Agent Security Evaluation
arXiv: Discovering Persistent Behavioural Patterns for Interpretable Blockchain Forensics
arXiv: Dissecting Software Graphs: Structural Insights for Driver-Guided Fuzzing
arXiv: Machine Learning-Based Cyber Defense for Cloud Infrastructure: An Adaptive Deep Q-Network Architecture for Int...
The publication introduces a research paper proposing an adaptive Deep Q-Network architecture for intrusion detection and automated threat mitigation in cloud environments. This is not a new regula...
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arXiv: A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models
This publication, dated August 2026, presents a technical study on using Grad-CAM visualization and hybrid learning models to improve malware detection through image-based analysis. It does not int...
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arXiv: Slips: Behavioral Evidence Aggregation for Network Security
The publication introduces a new technical framework, Slips, designed to aggregate behavioral evidence for network security. While not a regulatory mandate, it represents a significant advancement ...
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