惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

人人都是产品经理
人人都是产品经理
宝玉的分享
宝玉的分享
小众软件
小众软件
有赞技术团队
有赞技术团队
月光博客
月光博客
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
MyScale Blog
MyScale Blog
Engineering at Meta
Engineering at Meta
Stack Overflow Blog
Stack Overflow Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
N
Netflix TechBlog - Medium
D
Docker
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
MongoDB | Blog
MongoDB | Blog
WordPress大学
WordPress大学
J
Java Code Geeks
罗磊的独立博客
V
Visual Studio Blog
雷峰网
雷峰网
H
Help Net Security
T
The Blog of Author Tim Ferriss
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
大猫的无限游戏
大猫的无限游戏
F
Fortinet All Blogs

cs.CR updates on arXiv.org

Agentic Vulnerability Reasoning on Windows COM Binaries From Beats to Breaches:How Offensive AI Infers Sensitive User Information from Playlists Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems Token-Efficient Change Detection in LLM APIs Selfie-Capture Dynamics as an Auxiliary Signal Against Deepfakes and Injection Attacks for Mobile Identity Verification Trident: Improving Malware Detection with LLMs and Behavioral Features When Alignment Isn't Enough: Response-Path Attacks on LLM Agents RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs Checkerboard: A Simple, Effective, Efficient and Learning-free Clean Label Backdoor Attack with Low Poisoning Budget Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing Evaluating Jailbreaking Vulnerabilities in LLMs Deployed as Assistants for Smart Grid Operations: A Benchmark Against NERC Standards Behavioral Canaries: Auditing Private Retrieved Context Usage in RL Fine-Tuning FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Text Steganography with Dynamic Codebook and Multimodal Large Language Model An AI Agent Execution Environment to Safeguard User Data TwoHamsters: Benchmarking Multi-Concept Compositional Unsafety in Text-to-Image Models Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD Symbolic Guardrails for Domain-Specific Agents: Stronger Safety and Security Guarantees Without Sacrificing Utility Hardening x402: PII-Safe Agentic Payments via Pre-Execution Metadata Filtering QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits Hijacking Text Heritage: Hiding the Human Signature through Homoglyphic Substitution Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation One Word at a Time: Incremental Completion Decomposition Breaks LLM Safety Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
The Opportunity to Regulate Cybersecurity in the EU (and ...
Kaspar Rosager Ludvigsen, Shishir Nagaraja · 2022-05-26 · via cs.CR updates on arXiv.org

Safety is becoming cybersecurity under most circumstances. This should be reflected in the Cybersecurity Resilience Act when it is proposed and agreed upon in the European Union. In this paper, we define a range of principles which this future Act should build upon, a structure and argue why it should be as broad as possible. It is based on what the cybersecurity research community for long have asked for, and on what constitutes clear hard legal rules instead of soft. Important areas such as cybersecurity should be taken seriously, by regulating it in the same way we see other types of critical infrastructure and physical structures, and be uncompromising and logical, to encompass the risks and potential for chaos which its ubiquitous nature entails. We find that principles which regulate cybersecurity systems' life-cycles in detail are needed, as is clearly stating what technology is being used, due to Kirkhoffs principle, and dismissing the idea of technosolutionism. Furthermore, carefully analysing risks is always necessary, but so is understanding when and how the systems manufacturers may fail or almost fail. We do this through the following principles: Ex ante and Ex post assessment, Safety and Security by Design, Denial of Obscurity, Dismissal of Infallibility, Systems Acknowledgement, Full Transparency, Movement towards a Zero-trust Security Model, Cybersecurity Resilience, Enforced Circular Risk Management, Dependability, Hazard Analysis and mitigation or limitation, liability, A Clear Reporting Regime, Enforcement of Certification and Standards, Mandated Verification of Security and Continuous Servicing. To this, we suggest that the Act employs similar authorities and mechanisms as the GDPR and create strong national authorities to coordinate inspection and enforcement in each Member State, with ENISA being the top and coordinating organ.