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AI_SAFETY

EU Regulatory Changes

371 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: Thou Shall Not Pass: Gatekeeping Outbound TLS Connections
arXiv: HE^2: A Communication-Light Heterogeneous Architecture for Efficient Fully Homomorphic Encryption
arXiv: Free-Riding in the AI Economy: Demystifying Logic Flaws in x402-Enabled Payment Systems
arXiv: Software Platform for Hybrid Pseudo-Random Sequence Generation and Predictability Analysis Based on LFSR and M...
arXiv: A Core-Structure-Based Automated Analysis Tool for Commercial Virtualization Obfuscation Deobfuscation
arXiv: TRACE: Task-Aware Adaptive Self-Evolving Agentic Jailbreaking
arXiv: LLM Anonymization Against Agentic Re-Identificatio
arXiv: Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense
arXiv: Differentially Private Preference Data Synthesis for Large Language Model Alignment
arXiv: How To Track Qubits Through Space and Time (Or: Sailing in a Quantum Boat)
arXiv: FASR: Automated Identification of Unsafe Control Actions in STPA
arXiv: Minimal Prompt Perturbations Lead to Code Vulnerabilities: Prompt Fragility and Hidden-State Signals in Coding...
This paper, published on arXiv on 28 May 2026, presents new research demonstrating that large language models used for coding are highly sensitive to minimal, seemingly innocuous changes in their i...
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arXiv: FIDEM: A Standard-Compliant Framework for Secure Binding of MUD Profiles to IoT Devices
A new academic publication, the FIDEM framework, proposes a standard-compliant method for securely binding Manufacturer Usage Descriptions (MUD) profiles to IoT devices. This is not a regulatory ch...
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arXiv: Scarcity Is Not Enough: An Impossibility Result for Linear Sybil Cost Under Parallelizable Resources
This paper, published on arXiv on May 28, 2026, presents a formal impossibility result for a specific type of Sybil attack defense in decentralized systems. It proves that when computational resour...
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arXiv: Information Security in Small-Scale Protests: Surveillance of Ugandan Anti-EACOP Protesters
This paper, published on arXiv, presents a case study on the use of digital surveillance technologies against small-scale protesters in Uganda opposing the East African Crude Oil Pipeline (EACOP). ...
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arXiv: Control Flow Graph Recovery for Dynamically Loaded Code via Symbolic Library Resolution
This paper, published on arXiv, presents a new technical method for recovering control flow graphs from dynamically loaded code using symbolic library resolution. While not a regulatory change itse...
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arXiv: LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models
This publication introduces LoRA-Key, a technical method for embedding invisible, user-specific watermarks into images generated by text-to-diffusion AI models. The paper proposes a system where ea...
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arXiv: Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection
This publication introduces a novel AI framework called Temporal Motif-aware Graph Test-time Adaptation, designed to detect anomalies in blockchain transactions that fall outside normal distributio...
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arXiv: KBF: Knowledge Boundary as Fingerprint for Language Model and Black-Box API Auditing
This paper, published on arXiv, introduces a novel auditing method called KBF (Knowledge Boundary as Fingerprint) for evaluating the safety and reliability of large language models (LLMs) and their...
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arXiv: CODEFUSE-DEBENCH: An Empirical Study on Readability, Recompilability, and Functionality
This publication, CODEFUSE-DEBENCH, is a research paper from arXiv that presents a new benchmark for evaluating the safety and reliability of AI code generation models. It focuses on three key metr...
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