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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: CODA: How to Mitigate ColumnDisturb for (Almost) Free?
This paper, published on arXiv, introduces a new technique called CODA designed to mitigate a specific type of AI model vulnerability known as "ColumnDisturb." ColumnDisturb refers to a failure mod...
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arXiv: To Play or Not to Play: Insights and Lessons Learned from 20 Years of CTFs with ENOFLAG
This publication is not a regulatory change but a research paper from the ENOFLAG team, summarizing lessons learned from 20 years of Capture The Flag (CTF) cybersecurity competitions. While it does...
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arXiv: Adversarial Prompting Framework for AI Safety Assessment
This publication from July 2026 introduces a new adversarial prompting framework designed to systematically test and assess the safety of AI systems. The framework provides a structured methodology...
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arXiv: ReBound: Reuse-Aware Privacy For Interactive Decision Support
This publication introduces a new privacy framework called ReBound, designed for interactive AI decision-support systems. It addresses a critical gap in current privacy regulations: the risk of dat...
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arXiv: ε-Indistinguishability In Moving Target Defense: Framework, Algorithms, And Cloud Case Studies
arXiv: DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection
arXiv: Evaluating Frontier AI Agents as Autonomous Clinical Security Auditors
arXiv: Rethinking Penetration Testing for AI-Enabled Systems: From Resource Compromise to Behavioral Objective Violation
arXiv: Agent Skill Security: Threat Models, Attacks, Defenses, and Evaluation
arXiv: ProfMalPlus: Agent-Coordinated Detection of Malicious NPM Packages via Static-Dynamic Analysis Synergy
arXiv: HORCRUX: A Complete PQC RISC-V eXtension Architecture
arXiv: Plausible Deniability Guarantees for Whistleblowers
arXiv: From Classification to Consistent Templates: Multiple Permuted-Label Classifier Encoding for Biometric Templat...
arXiv: Reveal, Correct, Then Pay: Encrypted Mempools and Perpetual Funding Security
arXiv: Assessing the Forensic Viability of Android Memory Analysis Across Production Builds: A Cross-Version Study of...
arXiv: Quantum Algorithm for Elliptic Curve Discrete Logarithms with Space-Efficient Point Addition
arXiv: Traffic-Aware Randomized Smoothing for LLM-Based Network Intrusion Detection
arXiv: PriEval-Protect: A Unified Framework for Privacy Evaluation and Protection in Healthcare Systems
arXiv: Towards quantum machine learning for assessing the resilience of post-quantum cryptography
arXiv: When Binaries Talk Back: Representation-Confusion Attacks on LLM-Assisted Reverse Engineering
A new academic paper published on arXiv, titled "When Binaries Talk Back: Representation-Confusion Attacks on LLM-Assisted Reverse Engineering," identifies a novel security vulnerability in large l...
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