MetaPermit: Scalable and Auditable Access Control for AI Agents via LLM-Inferred Meta-Attributes
cs.CR, cs.SE
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents
- Defeating Prompt Injections by Design
- AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
- Mind2Web: Towards a Generalist Agent for the Web
- Secure and Efficient Access Control for Computer-Use Agents via Context Space
- Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
- AgentDyn: Are Your Agent Security Defenses Deployable in Real-World Dynamic Environments?
- The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
- Ignore Previous Prompt: Attack Techniques For Language Models
- AC4A: Access Control for Agents
- Progent: Securing AI Agents with Privilege Control
- The Rise and Potential of Large Language Model Based Agents: A Survey
- Qwen3 Technical Report
- ReAct: Synergizing Reasoning and Acting in Language Models
- Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
Related papers
- SoK: AI-Augmented Binary Reversing
- Relaxed Sender Anonymity for CBDC Interbank Settlement: A Zero-Knowledge Approach on Permissioned EVM
- Calibration-Family Overfit: Why Trusted Sabotage Monitors Don't Transfer Across Lineages
- Efficient Fuzzy PSI under One-Sided Assumptions
- Sealing the Audit-Runtime Gap for LLM Skills
- Token Composition: A Graph Based on EVM Logs