{"total":18,"rows":[{"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":"2605.14859","title":"Do Coding Agents Understand Least-Privilege Authorization?","created":"2026-05-14","cited_by_count":6,"area":"agents"},{"id":"2602.03580","title":"Don't believe everything you read: Understanding and Measuring MCP Behavior under Misleading Tool Descriptions","created":"2026-02-03","cited_by_count":5,"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":"2605.12105","title":"Autonomy and Agency in Agentic AI: Architectural Tactics for Regulated Contexts","created":"2026-05-12","cited_by_count":3,"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":"2603.07473","title":"Give Them an Inch and They Will Take a Mile:Understanding and Measuring Caller Identity Confusion in MCP-Based AI Systems","created":"2026-03-08","cited_by_count":1,"area":"agents"},{"id":"2606.09844","title":"The Interlocutor Effect: Why LLMs Leak More Personal Data to Agents Than Humans","created":"2026-04-26","cited_by_count":1,"area":"agents"},{"id":"2607.18347","title":"A Decision-Centered Reference Architecture for Trustworthy Agentic Commerce","created":"2026-07-20","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":"2606.09182","title":"Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software Engineering","created":"2026-06-08","cited_by_count":0,"area":"agents"},{"id":"2606.28666","title":"Why Trust Your Agent? Empirical Security Gains from TRiSM-Guided Agentic Workflows in Healthcare","created":"2026-06-27","cited_by_count":0,"area":"agents"},{"id":"2607.16249","title":"An Agentic Interface for End-to-End Probabilistic Seismic Hazard and Risk Analysis","created":"2026-06-27","cited_by_count":0,"area":"agents"},{"id":"2607.18826","title":"Cross-Agent Campaign Attribution: Linking Asynchronous Attacks Across LLM Agents","created":"2026-07-21","cited_by_count":0,"area":"agents"},{"id":"2608.10530","title":"On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models","created":"2026-08-11","cited_by_count":0,"area":"agents"},{"id":"2608.20481","title":"AEGIS: Preventing Cross-Domain Resource Abuse in MCP","created":"2026-08-20","cited_by_count":0,"area":"agents"},{"id":"2609.22573","title":"Zero-Trust Authorization and Discovery for Enterprise MCP","created":"2026-09-18","cited_by_count":0,"area":"agents"}],"next_cursor":null}