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All Changes

EU Regulatory Changes

1668 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: Detecting Trojaned DNNs via Spectral Regression Analysis
This publication introduces a novel technical method for detecting Trojan attacks in deep neural networks (DNNs) using spectral regression analysis. While not a regulatory change itself, it represe...
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arXiv: Image Encryption via Data-Identified Discrete Chaotic Maps
A new research paper published on arXiv proposes an image encryption method using data-identified discrete chaotic maps, which could have implications for data protection and AI safety compliance. ...
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arXiv: Backchaining Loss of Control Mitigations from Mission-Specific Benchmarks in National Security
This paper, published on arXiv under the AI Safety framework, introduces a novel methodology for managing loss of control risks in advanced AI systems, specifically tailored to national security co...
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arXiv: An Evidence-driven Protocol for Trustworthy CI Pipelines
This publication introduces a new evidence-driven protocol for building trustworthy continuous integration (CI) pipelines, specifically designed to align with the AI Safety framework. The protocol ...
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arXiv: Verifiable Provenance and Watermarking for Generative AI: An Evidentiary Framework for International Operation...
This paper, published on arXiv, proposes a new evidentiary framework for using verifiable provenance and watermarking technologies in generative AI. It specifically addresses how these technical me...
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arXiv: Domijn: The Security of Domain Registrars and the Risk of a Domain Name Takeover
arXiv: An IoT-Enabled Smart Home Automation System for Energy Efficiency with Web-Based Control
arXiv: Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning
arXiv: Comparative Evaluation of Deep Learning Models for Fake Image Detection
arXiv: Ark: Offchain Transaction Batching in Bitcoin
arXiv: Privacy-Preserving Distributed Optimization Under Time Constraints Using Secure Multi-Party Computation and Ev...
arXiv: GenAI-Driven Threat Detection with Microsoft Security Copilot
arXiv: Precision and Privacy in Distributed Quantum Sensing: A Quantum Fisher Information Duality
arXiv: Rethinking Fraud Safety Evaluation: Multi-Round Attacks Reveal Safety-Utility Tradeoffs in Graph-Context LLM D...
arXiv: An Application-Layer Multi-Modal Covert-Channel Reference Monitor for LLM Agent Egress
arXiv: Heartbeat-Bound Hierarchical Credentials: Cryptographic Revocation for AI Agent Swarms
arXiv: Trusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs
arXiv: Detecting Data Exfiltration through I2P Anonymity Networks: A Two-Phase Machine Learning Approach
arXiv: An exponential mechanism based on quadratic approximations for fine-tuning machine learning models with privac...
arXiv: SMA-DP: Spectral Memory-Aware Differential Privacy for Deep Learning