AI_SAFETY
EU Regulatory Changes
1501 changes tracked across 24 compliance frameworks including DORA, NIS2, GDPR, EU AI Act, Cyber Resilience Act, and more.
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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
This paper, published on arXiv, introduces a new mathematical technique called the Dithered Gaussian Mechanism, which aims to make differential privacy more efficient by reducing the amount of rand...
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This publication introduces a novel machine learning model, the FDIFormer, designed to detect False Data Injection Attacks in smart grid networks. The research presents a protocol-aware transformer...
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This publication introduces a new dataset and classification framework for assessing the trustworthiness of software code contributions based on digital signatures. The authors propose "Identity Tr...
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This publication, a research paper from arXiv, presents a detailed security analysis of browser-extension wallets used in the Web3 ecosystem, such as those for cryptocurrency and decentralized appl...
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arXiv: Poster: Mind the Gap -- Characterizing the Temporal Blind Spot Between GSB and DNS Resolution
This paper, published on arXiv, identifies a critical timing vulnerability in how internet infrastructure handles domain name resolution, specifically between the Global Server Load Balancer (GSLB)...
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This paper, published on arXiv, presents a new method for neural decompilation of Dart AOT (ahead-of-time) binaries, focusing on evaluating fine-tuning techniques and metrics. While not a regulator...
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This paper, published on arXiv, proposes a novel technical framework for securing 6G wireless networks, specifically addressing vulnerabilities in urban beamforming and attacker detection. It intro...
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This paper, published on arXiv, proposes a novel technical architecture called Dual-CRDT for managing decentralized trust and governance in AI systems. It is not a regulatory change itself, but a r...
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This paper, published on arXiv, introduces a new method called REAN for anonymizing electrocardiogram (ECG) data. It addresses a critical tension in AI safety: the need to protect patient privacy w...
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This publication introduces a novel technical method for embedding invisible, tamper-resistant watermarks into AI-generated code using multi-channel spread-spectrum techniques. While not a regulato...
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