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AI_SAFETY

EU Regulatory Changes

717 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: ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities?
arXiv: Benign Inputs, Harmful Outputs: Cross-Modal Jailbreaking via Distributed Semantic Recomposition
arXiv: Tridirectional Discriminating-Power Formal Verification of Smart Contract Reentrancy Defense Against Productio...
arXiv: SECUREVENT: Hybrid AI/ML Security Monitoring for Distributed Event-Based Systems
arXiv: Fair Finetuning Mitigates Distribution Inference Attacks
arXiv: IstGPT: LLM-based Anomaly Detection for Spatial-Temporal Graph in Industrial Systems
arXiv: CoreUnlearn: Rethinking Concept Unlearning through Disentangled Component-Level Erasure in Text-guided Diffusi...
arXiv: Defenses & Enablers For Skill Injection Attacks on Terminal Based Agents
arXiv: Near-Optimal Pure Machine Unlearning for Smooth Strongly Convex Losses
arXiv: Agent Operating Systems (AOS): Integrating Agentic Control Planes into, and Beyond, Traditional Operating Systems
arXiv: ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree
arXiv: NetVAD: Foundation-Model Representation Learning for Identifier-Free Unsupervised Intrusion Detection
arXiv: Stateful Online Monitoring Catches Distributed Agent Attacks
This paper, published on arXiv, introduces a novel monitoring framework called Stateful Online Monitoring designed to detect coordinated attacks by multiple AI agents operating in distributed envir...
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arXiv: Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Credential Leakage Detec...
This publication introduces a novel hybrid machine learning framework, combining CNN and CodeBERT architectures, designed to detect credential leakage in source code with three-class classification...
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arXiv: Pseudoentanglement in constant depth: How trivial states can have non-trivial entanglement structure
This publication, a preprint from arXiv, presents a theoretical computer science finding that "pseudoentanglement" can be generated in constant-depth quantum circuits. This means that quantum state...
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arXiv: Neuroforger: certified violation witnesses for smart contracts verification via LLMs
This paper, published on arXiv, introduces Neuroforger, a system that uses large language models to automatically generate "certified violation witnesses" for smart contract verification. In plain ...
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arXiv: Toward Accessible Mobile Money: A Voice-Driven, Biometrically Secured USSD Automation Framework for Visually I...
This is a research paper, not a regulatory change. It proposes a technical framework for mobile money systems that use voice commands and biometric authentication to improve accessibility for visua...
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arXiv: When Entropy Is Not Enough: Multi-Modal Classification of Encrypted and Compressed Data Fragments
This publication presents a novel machine learning method for classifying encrypted and compressed data fragments without decryption, using multi-modal analysis that combines entropy measures with ...
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arXiv: MeshGuard: MUD-Based Network Access Control for Large-Scale Thread-Powered IoT Networks
This publication introduces MeshGuard, a proposed technical framework for network access control in large-scale Internet of Things (IoT) networks using the Thread protocol. It leverages Manufacture...
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arXiv: GETA: Generalized Encrypted Traffic Analysis
A new academic paper titled "GETA: Generalized Encrypted Traffic Analysis" has been published on arXiv, proposing a framework for analyzing encrypted network traffic using machine learning. While n...
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