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AI_SAFETY

EU Regulatory Changes

1550 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: Threshold Authorization Without Threshold Signatures: Signature-Agnostic MPC Custody
arXiv: MLQENABLER: Enabling Secure Machine Learning Queries over Encrypted Database in Cloud Computing
arXiv: Prismata: Confining Cross-Site Prompt Injection in Web Agents
arXiv: Securing Autonomous Vehicle Systems via Twin-Aware Federated Reinforcement Learning
arXiv: zkComposer: Decomposing Proof Construction to Scale zkML
arXiv: Degree-Constrained Interval Optimization for Minimax Polynomial Approximation in Homomorphic Encryption
arXiv: Beware What You Autocomplete: Forensic Attribution of Backdoored Code Completions
arXiv: Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems
arXiv: KS-CFA: Control-Flow Attestation via Symbolic Replay Against Control-Flow Bending Attacks
arXiv: Efficient Safety Alignment of Language Models via Latent Personality Traits
arXiv: Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks
arXiv: Mechanistic Interpretability of LLM Jailbreaks via Internal Attribution Graphs
arXiv: Closed-Loop Dynamic Validator Node Scaling in Private Substrate Blockchains Using Takagi-Sugeno Fuzzy Inference
arXiv: Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM...
This publication from July 2026 presents a research paper identifying a critical failure mode in large language model (LLM) agents that use external tools, such as code interpreters or APIs. The au...
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arXiv: zk-ScalHard: Scalable and Hardware-Rooted Privacy-Preserving Authentication for Secure OTA Updates in Zonal SDVs
This publication from July 2026 introduces a new cryptographic framework called zk-ScalHard, designed to enable privacy-preserving authentication for over-the-air (OTA) software updates in zonal so...
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arXiv: FedCVESA: Taking Away Training Data in Federated Learning via Correlation Value Encoding and Segmented Aggrega...
This paper, published on arXiv, proposes a new technique called FedCVESA that allows attackers to reconstruct training data from federated learning models with high accuracy. Federated learning is ...
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arXiv: Safe2Hail: A Forensic-Driven Post-Trip Tracking Framework for Ride-Hailing Safety in Africa
A new research paper titled Safe2Hail proposes a forensic-driven post-trip tracking framework specifically designed to improve ride-hailing safety in African contexts. While not a regulatory change...
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arXiv: MoLIFE: Methodology, Technologies, and Challenges for Mobile Live Intelligent Forensics Examination
This publication, MoLIFE, presents a new framework for conducting live forensic examinations of mobile devices, with a specific focus on artificial intelligence safety. It outlines methodologies an...
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arXiv: Monitoring Vulnerabilities in Next-Generation Automotive Operating Systems
This publication from arXiv, dated July 2026, presents a technical analysis of security vulnerabilities specific to next-generation automotive operating systems, particularly those integrating adva...
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arXiv: Finding and Understanding Miscompilation Bugs in the Solidity Compiler
A new academic paper published on arXiv, titled "Finding and Understanding Miscompilation Bugs in the Solidity Compiler," presents a systematic analysis of bugs in the Solidity compiler, which is t...
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