{"total":50,"rows":[{"id":"2506.19676","title":"A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures","created":"2025-06-24","cited_by_count":57,"area":"agents"},{"id":"2508.13220","title":"MCPSecBench: A Systematic Security Benchmark and Playground for Testing Model Context Protocols","created":"2025-08-17","cited_by_count":51,"area":"agents"},{"id":"2510.15994","title":"MCP Security Bench (MSB): Benchmarking Attacks Against Model Context Protocol in LLM Agents","created":"2025-10-14","cited_by_count":42,"area":"agents"},{"id":"2505.06416","title":"ScaleMCP: Dynamic and Auto-Synchronizing Model Context Protocol Tools for LLM Agents","created":"2025-05-09","cited_by_count":36,"area":"agents"},{"id":"2512.15163","title":"MCP-SafetyBench: A Benchmark for Safety Evaluation of Large Language Models with Real-World MCP Servers","created":"2025-12-17","cited_by_count":34,"area":"agents"},{"id":"2603.11088","title":"The Attack and Defense Landscape of Agentic AI: A Comprehensive Survey","created":"2026-03-11","cited_by_count":28,"area":"agents"},{"id":"2506.13666","title":"We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems","created":"2025-06-16","cited_by_count":27,"area":"agents"},{"id":"2604.11790","title":"ClawGuard: A Runtime Security Framework for Tool-Augmented LLM Agents Against Indirect Prompt Injection","created":"2026-04-13","cited_by_count":27,"area":"agents"},{"id":"2510.21236","title":"AgentBound: Securing Execution Boundaries of AI Agents","created":"2025-10-24","cited_by_count":23,"area":"agents"},{"id":"2508.12538","title":"MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security","created":"2025-08-18","cited_by_count":21,"area":"agents"},{"id":"2604.03070","title":"How Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study","created":"2026-04-03","cited_by_count":19,"area":"agents"},{"id":"2512.08290","title":"Systematization of Knowledge: Security and Safety in the Model Context Protocol Ecosystem","created":"2025-12-09","cited_by_count":16,"area":"agents"},{"id":"2602.11327","title":"Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANP","created":"2026-02-11","cited_by_count":15,"area":"agents"},{"id":"2510.23673","title":"MCPGuard : Automatically Detecting Vulnerabilities in MCP Servers","created":"2025-10-27","cited_by_count":14,"area":"agents"},{"id":"2512.06556","title":"Semantic Attacks on Tool-Augmented LLMs: Securing the Model Context Protocol Against Descriptor-Level Manipulation","created":"2025-12-06","cited_by_count":13,"area":"agents"},{"id":"2512.05951","title":"Trusted AI Agents in the Cloud","created":"2025-12-05","cited_by_count":6,"area":"agents"},{"id":"2606.03024","title":"SkillGuard: A Permission-Centric Framework for Agent Skill Security","created":"2026-06-02","cited_by_count":6,"area":"agents"},{"id":"2509.05755","title":"Red-Teaming Coding Agents from a Tool-Invocation Perspective: An Empirical Security Assessment","created":"2025-09-06","cited_by_count":5,"area":"agents"},{"id":"2510.14133","title":"Formalizing the Safety, Security, and Functional Properties of Agentic AI Systems","created":"2025-10-15","cited_by_count":5,"area":"agents"},{"id":"2602.01129","title":"SMCP: Secure Model Context Protocol","created":"2026-02-01","cited_by_count":5,"area":"agents"},{"id":"2606.30755","title":"Understanding and Evaluating Claw-like Agent Security Through a Computer-Systems Lens","created":"2026-06-29","cited_by_count":5,"area":"agents"},{"id":"2604.18071","title":"Architectural Design Decisions in AI Agent Harnesses","created":"2026-04-20","cited_by_count":4,"area":"agents"},{"id":"2505.23634","title":"MCP Safety Training: Learning to Refuse Falsely Benign MCP Exploits using Improved Preference Alignment","created":"2025-05-29","cited_by_count":3,"area":"agents"},{"id":"2602.14281","title":"MCPShield: A Security Cognition Layer for Adaptive Trust Calibration in Model Context Protocol Agents","created":"2026-02-15","cited_by_count":3,"area":"agents"},{"id":"2602.15945","title":"From Tool Orchestration to Code Execution: A Study of MCP Design Choices","created":"2026-02-17","cited_by_count":3,"area":"agents"},{"id":"2603.26221","title":"Clawed and Dangerous: Can We Trust Open Agentic Systems?","created":"2026-03-27","cited_by_count":3,"area":"agents"},{"id":"2508.06418","title":"Quantifying Conversation Drift in MCP via Latent Polytope","created":"2025-08-08","cited_by_count":2,"area":"agents"},{"id":"2604.07551","title":"MCP-DPT: A Defense-Placement Taxonomy and Coverage Analysis for Model Context Protocol Security","created":"2026-04-08","cited_by_count":2,"area":"agents"},{"id":"2605.09889","title":"Skill Description Deception Attack against Task Routing in Internet of Agents","created":"2026-05-11","cited_by_count":2,"area":"agents"},{"id":"2605.17380","title":"ADR: An Agentic Detection System for Enterprise Agentic AI Security","created":"2026-05-17","cited_by_count":2,"area":"agents"},{"id":"2606.27027","title":"ShareLock: A Stealthy Multi-Tool Threshold Poisoning Attack Against MCP","created":"2026-06-25","cited_by_count":2,"area":"agents"},{"id":"2606.31227","title":"Securing the AI Agent: A Unified Framework for Multi-Layer Agent Red Teaming","created":"2026-06-30","cited_by_count":2,"area":"agents"},{"id":"2603.10194","title":"MCP-in-SoS: Risk assessment framework for open-source MCP servers","created":"2026-03-10","cited_by_count":1,"area":"agents"},{"id":"2604.17125","title":"CASCADE: A Component Ablation and Corpus Audit of a Layered Local Defense for MCP-Based Systems","created":"2026-04-18","cited_by_count":1,"area":"agents"},{"id":"2605.28617","title":"LACUNA: Safe Agents as Recursive Program Holes","created":"2026-05-27","cited_by_count":1,"area":"agents"},{"id":"2606.15822","title":"TrustedARI: Towards Trust-Native Agentic Routing Infrastructure for Agentic AI","created":"2026-06-14","cited_by_count":1,"area":"agents"},{"id":"2608.24957","title":"ToolMinimize: Auditing and Rewriting LLM Agent Tool Calls to Minimize Privacy Exposure","created":"2026-08-25","cited_by_count":1,"area":"agents"},{"id":"2608.27990","title":"CAITLYN: Can LLM Agents Autonomously Synthesize Defenses against Emerging Injection Attacks?","created":"2026-08-28","cited_by_count":1,"area":"agents"},{"id":"2504.12482","title":"Agentic AI Optimisation (AAIO): what it is, how it works, why it matters, and how to deal with it","created":"2025-04-16","cited_by_count":0,"area":"agents"},{"id":"2508.19500","title":"Servant, Stalker, Predator: How An Honest, Helpful, And Harmless (3H) Agent Unlocks Adversarial Skills","created":"2025-08-27","cited_by_count":0,"area":"agents"},{"id":"2510.21566","title":"ColorEcosystem: Powering Personalized, Standardized, and Trustworthy Agentic Service in massive-agent Ecosystem","created":"2025-10-24","cited_by_count":0,"area":"agents"},{"id":"2605.05247","title":"DADL: A Declarative Description Language for Enterprise Tool Libraries in LLM Agent Systems","created":"2026-05-04","cited_by_count":0,"area":"agents"},{"id":"2605.21392","title":"VIPER-MCP: Detecting and Exploiting Taint-Style Vulnerabilities in Model Context Protocol Servers","created":"2026-05-20","cited_by_count":0,"area":"agents"},{"id":"2607.08288","title":"From Legacy Documentation to OSCAL: An MCP-Based Agent Pipeline for Threat-Informed Continuous Compliance in Critical Infrastructure","created":"2026-07-09","cited_by_count":0,"area":"agents"},{"id":"2607.24006","title":"Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation","created":"2026-07-27","cited_by_count":0,"area":"agents"},{"id":"2608.06130","title":"Hardware Keystores for AI Agent Signing Workflows: A Zero-Trust MCP Enforcement Architecture","created":"2026-08-06","cited_by_count":0,"area":"agents"},{"id":"2608.23763","title":"TrustShiftProbe: Characterizing, Benchmarking, and Defending Staged Trust Attacks on MCP Servers","created":"2026-08-24","cited_by_count":0,"area":"agents"},{"id":"2609.18217","title":"Measuring and Exploiting Implicit Trust in LLM Tool-Calling Pipelines","created":"2026-09-16","cited_by_count":0,"area":"agents"},{"id":"2609.19425","title":"Closed-World Resolution Against Tool Hallucination in LLM Agents","created":"2026-09-16","cited_by_count":0,"area":"agents"},{"id":"2610.17727","title":"SkillScreen: High-Recall Screening of Malicious Agent Skills with Decision Models","created":"2026-10-13","cited_by_count":0,"area":"agents"}],"next_cursor":null}