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AI_SAFETY

EU Regulatory Changes

1501 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: Quantization as a Malicious Task: Removing Quantization-Conditioned Backdoors via Task Arithmetic
arXiv: TrustMix: How to Mix Messages in a Mobile Ad-hoc Network
arXiv: GNSS Spoofing Threat for V2X communications
arXiv: Accelerating Trust Convergence in IIoT: A ML Approach for Dynamic Network Conditions
arXiv: Artificial Intelligence as Game Changer in Cybersecurity: What We Learned in 2025-2026, and how this is releva...
arXiv: A Measurement Study of Cryptographic Misuse in Embodied AI Mobile Applications
arXiv: AutoTam: Specifying Secure Protocol Implementations with Tamarin Model Generation
arXiv: FFinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming
arXiv: Low-Cost Multi-Precision Systolic Arrays for Accelerating FHE NTTs on AI ASICs
arXiv: Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience
arXiv: DISARM: Target Electronic Device Informed Mitigation of Software Runtime Side-Channel Vulnerabilities
arXiv: SafeSpec: Fast and Safe LLM via Dynamic Reflective Sampling
arXiv: When Global Gating Is Enough: Admission-Time Hubness Control in Anisotropic Vector Retrieval Systems
arXiv: A Layered Security Framework Against Prompt Injection in RAG-Based Chatbots
arXiv: PUFFERDOS: Efficient and Effective Attack String Generation for Regular Expression Denial of Service Vulnerabi...
arXiv: Architectural Bias in Face Presentation Attack Detection: A Comparative Study of Vision Transformers and Convo...
This publication, titled "Architectural Bias in Face Presentation Attack Detection," is a research paper from arXiv that compares the performance of Vision Transformers and Convolutional Neural Net...
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arXiv: CodeSentinel: A Three-Layer Defense Against Indirect Prompt Injection in Code Contexts
This publication introduces CodeSentinel, a proposed three-layer defense framework designed to detect and mitigate indirect prompt injection attacks in AI systems that interact with code. Indirect ...
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arXiv: PhantomSkill: Malicious Code Injection in Agent Skill Ecosystems
This publication, PhantomSkill: Malicious Code Injection in Agent Skill Ecosystems, details a newly identified vulnerability in AI agent systems that rely on third-party skills or plugins. The rese...
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arXiv: OpenAnt: LLM-Powered Vulnerability Discovery Through Code Decomposition, Adversarial Verification, and Dynamic...
This publication, dated June 17, 2026, introduces OpenAnt, a novel framework that uses large language models to automate the discovery of software vulnerabilities. The method combines code decompos...
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arXiv: Giskard : Byzantine Robust and Confidential Aggregation for Large-Scale Decentralized Learning
This paper, published on arXiv, introduces Giskard, a new cryptographic protocol designed to secure large-scale decentralized machine learning systems. It addresses two critical vulnerabilities: By...
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