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AI_SAFETY

EU Regulatory Changes

668 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: Online Shift Detection and Conformal Adaptation for Deployed Safety Classifiers
arXiv: Image Quality Assessment of Identity Cards Using Measures from Open Face Image Quality
arXiv: Gerrymandering the Warp: Non-Control-Data Attacks on CUDA Collective Decision
arXiv: WarpGuard: Protected-Site Control-Flow Integrity for CUDA SASS Binaries
arXiv: Systematic Cybersecurity Risk Analysis of European Rail Traffic Management System
arXiv: Feature-Aligned Speech Watermarking for Robustness to Reconstruction Distortions
arXiv: Jaguar: Fast Private CNN Inference with Power-of-Two Homomorphic Arithmetic
arXiv: Grammar-Constrained Decoding Can Jailbreak LLMs into Generating Malicious Code
arXiv: Toward Trustworthy AI: Multi-Target Adversarial Attacks and Robust Defenses for Continuous Data Summarization
arXiv: SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT
arXiv: A Fast Gaussian Mechanism under Continual Observation, with Applications
arXiv: MHOT: Height-Optimized Authenticated Data Structure for Blockchain State Commitment
arXiv: Anchors that Don't Lift: Understanding Supply Chain Driven Kernel Lock-In and Governance-Mediated Mitigation S...
This paper, published on arXiv, is not a regulatory change but a research study that identifies a critical supply chain security vulnerability in small office/home office (SOHO) networking devices....
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arXiv: OpenPCC: Open and Confidential LLM Serving on Commodity TEEs
This paper, published on arXiv, introduces OpenPCC, a technical framework for running large language models (LLMs) on commodity Trusted Execution Environments (TEEs) while maintaining both performa...
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arXiv: A Longitudinal Study of Recently Observed Malicious Domains: Characteristics, Infrastructure, and Abuse Patterns
This publication is a research paper from arXiv, not a regulatory change, but it provides critical empirical evidence that should inform AI safety compliance frameworks. The study analyzes a longit...
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arXiv: Do Transformers Actually Help Intrusion Detection? A Temporal Sequence Evaluation on CIC-IDS2017
This publication is a research paper, not a regulatory change, but it has significant implications for compliance professionals overseeing AI-driven cybersecurity systems under frameworks like the ...
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arXiv: When Discovery Outpaces Remediation: Modeling AI-Accelerated Vulnerability Discovery in Interconnected Systems
This paper, published on arXiv, models a new systemic risk: AI systems can discover software vulnerabilities far faster than humans or traditional tools can patch them. It demonstrates that in inte...
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arXiv: Understanding and mitigating the risks of OpenClaw for non-technical users: A practical guide with Skill
This document, published on arXiv, is a practical guide titled "Understanding and mitigating the risks of OpenClaw for non-technical users." It introduces a new risk framework, AI_SAFETY, specifica...
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arXiv: Context-Based Adversarial Attacks on AI Code Generators: Vulnerability Analysis and Implications
This publication, a research paper from arXiv, presents a new vulnerability analysis of AI code generators. It demonstrates that these systems can be manipulated through context-based adversarial a...
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arXiv: What Do Deepfake Speech Detectors Actually Hear?
This paper, published on arXiv, presents a technical analysis of deepfake speech detectors, revealing that these systems often rely on superficial acoustic artifacts—such as background noise or rec...
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