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

D
Docker
博客园 - 【当耐特】
S
SegmentFault 最新的问题
阮一峰的网络日志
阮一峰的网络日志
大猫的无限游戏
大猫的无限游戏
WordPress大学
WordPress大学
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
The Cloudflare Blog
Apple Machine Learning Research
Apple Machine Learning Research
小众软件
小众软件
博客园 - 三生石上(FineUI控件)
Martin Fowler
Martin Fowler
云风的 BLOG
云风的 BLOG
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
F
Fortinet All Blogs
Y
Y Combinator Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
J
Java Code Geeks
Engineering at Meta
Engineering at Meta
MyScale Blog
MyScale Blog
B
Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
人人都是产品经理
人人都是产品经理

cs updates on arXiv.org

Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment Agentic Proving for Program Verification MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework Benchmarking Google Embeddings 2 against Open-Source Models for Multilingual Dense Retrieval and RAG Systems Structure-Guided Entity Resolution: Fine-Tuning LLMs for Robust Name Matching in Complex Linguistic Contexts Solving the Aircraft Disassembly Scheduling Problem Co-ReAct: Rubrics as Step-Level Collaborators for ReAct Agents CP or DP? Why Not Both: A Case Study in the Partial Shop Scheduling Problem Asking For An Old Friend: Diagnosing and Mitigating Temporal Failure Modes in LLM-based Statutory Question Answering EDGE-OPD: Internalizing Privileged Context with Evidence Guided On-Policy Distillation ARES: Automated Rubric Synthesis for Scalable LLM Reinforcement Learning SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction Naturalistic measure of social norms alignment Articulatory strategy as a source of variation in acoustic vowel dynamics When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems EquiSumm : A Gender Bias-Aware Framework for Inclusive Tweet Summarization Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals From Correctness to Preference: A Framework for Personalized Agentic Reinforcement Learning Cultural Adaptation in Large Language Models for Political Discourse Emotion Recognition in Sign Language Conversation ClimateChat-300K: A Multi-Modal Facebook Dataset for Understanding Diverse Perspectives in Climate Communication AraHopeCorpus: Annotation Guidelines and Dataset for Hope Speech in Arabic Social Media Crisis Discourse Human-in-the-Loop Multi-Agent Ventilator Decision Support with Contextual Bandit Preference Learning Convergence Without Understanding: When Language Models Agree on Representations but Disagree on Reasoning DART: Semantic Recoverability for Structured Tool Agents Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems Parallel Context Compaction for Long-Horizon LLM Agent Serving
Policy Description Language for Authorization using Logic...
[Submitted on 6 Jun 2026] · 2026-06-10 · via cs updates on arXiv.org

View PDF HTML (experimental)

Abstract:Recently, with the impossibility of eradicating the vulnerabilities of information systems, we must prepare for the occurrence of the security incident by the multi-layer defense called the Defense-in-Depth strategy. In the multi-layer defense, it is important to authorize accesses in fine-grained granularity to compose each layer effectively, and many access control models are proposed to follow them. However, policy description languages proposed so far cannot express the models appropriately in proper granularity. In this paper, we propose a policy description language which can designate many kinds of conditions for access control, such as the dynamic status of an application process, as an element of decision data, and implement it in Datalog. Using the proposed language, we compose the policy of SELinux, which is a major implementation achieving the multi-layer defense, and we confirm the advantages of the proposed language by evaluating its validity and expressiveness.

Submission history

From: Masaki Hashimoto Assoc. Prof. [view email]
[v1] Sat, 6 Jun 2026 11:48:00 UTC (35 KB)