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AI_SAFETY

EU Regulatory Changes

1599 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: Enabling Threshold Custody for the Lightning Network with Nested Threshold Multi-Signatures
arXiv: The Software Supply Chain as a Market for Lemons: A Multivocal Review of Trust Signal Collapse
arXiv: The Rising Cost of Trust: Practitioners' Trust Signals, Controls, and Responses in the Software Supply Chain
arXiv: Bootstrapping Mutual Attestation with Kleene's Second Recursion Theorem
arXiv: The Claws in Plain Sight: Unauthorized Context Disclosure through LLM Agent Tool Calls
arXiv: Chameleon: Robust Defense Against Tor Website Fingerprinting via Many-to-Many Traffic Morphing
The publication introduces Chameleon, a defensive technique designed to protect Tor network users from website fingerprinting attacks. Website fingerprinting allows an adversary to identify which w...
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arXiv: Trustworthy mobile edge caching: a blockchain approach to mitigate malicious nodes and incentivize cache sharing
This publication introduces a blockchain-based framework designed to enhance the security and reliability of mobile edge caching systems. The core change is a technical proposal, not a regulatory m...
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arXiv: Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation
A new research paper proposes a method for detecting rare disease-associated cell subsets using secure multi-party computation, a cryptographic technique that allows multiple parties to jointly ana...
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arXiv: A Meta-Study on Replication Papers in Usable Security & Privacy
A new meta-study published on arXiv, titled "A Meta-Study on Replication Papers in Usable Security & Privacy," has been released under the AI_SAFETY framework. The paper systematically reviews repl...
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arXiv: TrustRAG: Blockchain-Enhanced RAG via Committee-Based Credibility Scoring
A new academic paper, TrustRAG, proposes a technical framework to improve the reliability of retrieval-augmented generation systems by integrating blockchain-based committee scoring. The system ass...
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arXiv: EchoCoT: Extracting Hidden Chain-of-Thought from Large Reasoning Models
A new academic paper, EchoCoT, demonstrates a method to extract hidden chain-of-thought reasoning from large language models, potentially bypassing safety alignment measures. The research shows tha...
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arXiv: Auditing Cross-Lingual Fairness in Language Model Watermarking
A new research paper, published on arXiv, examines fairness gaps in watermarking technologies used to identify AI-generated text. The study specifically audits how these watermarks perform across d...
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arXiv: COPA: Continual Preference Optimization for Adaptive Prompt Injection Defense
A new academic paper, titled COPA: Continual Preference Optimization for Adaptive Prompt Injection Defense, has been published on arXiv. It proposes a novel technical method for defending large lan...
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arXiv: Tracking the Trend in How Speech Synthesizers Deceive People
A new preprint from arXiv, dated August 2026, analyzes how modern speech synthesizers are increasingly able to deceive human listeners, moving beyond simple voice cloning to generating entirely syn...
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arXiv: From Noise to Signal: Improving Security Log Anomaly Detection Using LLMs with Endpoint-Specific Logs
The publication introduces a research paper proposing a method to improve security log anomaly detection by using large language models trained on endpoint-specific logs, rather than generic data. ...
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arXiv: ShadowPath: Lookup-Private Credential Status Verification over Authenticated State
arXiv: Securing Filesystems for Confidential Computing
arXiv: MaliciousSkillBench: A Comprehensive Benchmark for Malicious Agent Skill Detection
arXiv: Inadvertent Context Leakage in Language Models
arXiv: Survival of~the~Stealthiest: Evolving Low-Entropy Ransomware via~Genetic Algorithms