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AI_SAFETY

EU Regulatory Changes

692 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: GTI-mSEMP Framework : A Proposed Framework to Stimulate Malware Propagation with Inclusion of Attacker-Defende...
A new preprint published on arXiv proposes a framework called GTI-mSEMP, which models how malware could be deliberately stimulated to spread more effectively by incorporating attacker and defender ...
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arXiv: ToolPrivacyBench: Benchmarking Purpose-Bound Privacy in Tool-Using LLM Agents
This paper, ToolPrivacyBench, introduces a new benchmarking framework designed to evaluate how well large language model agents protect user privacy when using external tools. It specifically tests...
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arXiv: Ghost Without Shell: Measuring Non-Interactive SSH Attacks on Honeypots
This paper, published on arXiv, presents a novel measurement study of non-interactive SSH attacks against honeypots, which are decoy systems used to detect cyber threats. The research reveals that ...
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arXiv: Quantum Multi-Party Threshold Private Set Intersection with Explicit Cardinality Testing
This publication introduces a novel cryptographic protocol for quantum multi-party threshold private set intersection with explicit cardinality testing. It enables multiple parties to compute the s...
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arXiv: Verifiable and Collusion-Resistant Multi-Party Quantum Private Set Operations
This publication introduces a new cryptographic protocol for multi-party quantum private set operations, enabling multiple parties to compute intersections or unions of private datasets without rev...
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arXiv: AdvancedShelLM: A Stateful Multi-Agent LLM Honeypot for SSH Deception
This publication introduces AdvancedShelLM, a novel AI-driven honeypot system that uses multiple large language model agents to simulate realistic, interactive SSH sessions for cybersecurity decept...
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arXiv: SHARD: cell-keyed residual splitting for alignment-resistant private dense retrieval
This paper, published on arXiv, introduces a new technical method called SHARD (cell-keyed residual splitting) designed to enable private dense retrieval of information from large language models w...
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arXiv: Decoys Cannot Go Everywhere: Mapping the Deception Surface in MITRE ATT&CK
This publication, a research paper from arXiv, does not represent a formal regulatory change but rather a significant technical analysis relevant to AI safety and cybersecurity compliance. The pape...
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arXiv: Transversal Difference Numbers in Finite Abelian Quotients
This is a mathematical research paper published on arXiv, not a regulatory change. It does not originate from any EU regulatory body or standard-setting organization. The title, "Transversal Differ...
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arXiv: Agentic AI-Powered Re-Identification: An Emerging, Scalable Threat to Mobility Microdata Privacy
This paper, published on arXiv, presents a new research finding that agentic AI systems can now re-identify individuals from anonymized mobility microdata—such as location traces from mobile phones...
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arXiv: Self-Verifying Measurement Records: Hash-Linked Evidence Graphs for Hardware Benchmarking
arXiv: RAMSES: Secure high-performance computing for sensitive data
arXiv: Exploring and Exploiting Synchrony Limitations of Time-Triggered Network-Agnostic Guardians
arXiv: Reliable Homomorphic Matching for Fuzzy Labeled PSI at Scale
arXiv: ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval ...
arXiv: AdvScan: Black-Box Adversarial Example Detection at Runtime through Power Analysis
arXiv: Room for Error: Large-Scale Simulation of Over-the-Air Acoustic Attacks
arXiv: What Was That Again? Certified Robustness for Automatic Speech Recognition
arXiv: Halt Fast! Early Stopping for Certified Robustness
arXiv: On the Inseparability of Instructions and Data in Shared-Embedding Sequence Models