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AI_SAFETY

EU Regulatory Changes

1574 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: A Penny for Your Prompts: Experiments Detecting and Mitigating LLM Usage by Survey Respondents
This publication from July 2026, titled "A Penny for Your Prompts," presents new research on detecting and mitigating the use of large language models (LLMs) by survey respondents. While not a regu...
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arXiv: SoK: Attack and Defense Landscape of Mobile On-device AI Systems
This publication is a systematic academic review, not a regulatory change. It surveys the security and privacy vulnerabilities of on-device AI systems, such as those running on smartphones, wearabl...
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arXiv: ReShift: Aha-Moment-Driven Reasoning-Level Backdoor Attacks on Vision-Language Models
arXiv: (A)I Sees What You Don't: Exploiting New Attack Surfaces in Third-Party Mobile Agents
arXiv: Federated Sovereign Transport Protocol (FSTP): Verifiable Coordination Without Disclosure
arXiv: A Non-Line-of-Sight, Multi-Modality-based Side-Channel IP Theft Attack on Additive Manufacturing Using Dual Sm...
arXiv: Semantic Leakage and Privacy Preservation in Relay-Assisted Semantic Communications
arXiv: Robocalls: A Worldwide or US-only Problem? Analyzing Spam and Fraud in International Phone Calls
arXiv: All-out Attack: Optimal Block Withholding Under Pay-Per-Share Scheme
arXiv: Detecting Adversarial Evasion Attacks Against Autoencoder-Based Network Intrusion Detection Systems
arXiv: Antaeus: Hunting Repository-Level Logic Vulnerabilities via Context-Grounded LLM Reasoning
arXiv: Toward a Unified Security and Privacy Framework for AI-Native 6G Networks
arXiv: The Binary Tree Mechanism is Optimal for Approximate Differentially Private Continual Counting
arXiv: No Country for Old Privacy: The Evolving Challenges of Anonymity in Bitcoin
arXiv: Forensic-Oriented Intrusion Detection Using Synthetic Network Traffic Data and Explainable Artificial Intellig...
arXiv: SessionBound: Turning Enterprise Task Approval into Budgeted Database Sessions
arXiv: Know Thy Neighbor: Cross-TEE Mutual Attestation
arXiv: Proofs of Ownership for Machine Learning Models
This publication from arXiv introduces a technical framework for establishing proof of ownership for machine learning models, addressing a critical gap in AI governance. The paper proposes cryptogr...
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arXiv: Your Space is My Zone: Demystifying the Security Risks of AI-Powered Applications on Pre-Trained Model Hubs
This publication, "Your Space is My Zone: Demystifying the Security Risks of AI-Powered Applications on Pre-Trained Model Hubs," is a research paper from arXiv that identifies critical security vul...
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arXiv: Quantum Lazy Sampling and Path Recording for Any Group
This publication introduces a novel computational method called Quantum Lazy Sampling and Path Recording for Any Group, which proposes a framework for more efficient quantum algorithm design. While...
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