{"total":65,"rows":[{"id":"2503.18813","title":"Defeating Prompt Injections by Design","created":"2025-03-24","cited_by_count":297,"area":"agents"},{"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":"2601.11893","title":"Taming Various Privilege Escalation in LLM-Based Agent Systems: A Mandatory Access Control Framework","created":"2026-01-17","cited_by_count":54,"area":"agents"},{"id":"2508.01249","title":"AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injection","created":"2025-08-02","cited_by_count":46,"area":"agents"},{"id":"2602.10453","title":"The Landscape of Prompt Injection Threats in LLM Agents: From Taxonomy to Analysis","created":"2026-02-11","cited_by_count":30,"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":"2509.07764","title":"AgentSentinel: An End-to-End and Real-Time Security Defense Framework for Computer-Use Agents","created":"2025-09-09","cited_by_count":27,"area":"agents"},{"id":"2510.01354","title":"WAInjectBench: Benchmarking Prompt Injection Detections for Web Agents","created":"2025-10-01","cited_by_count":24,"area":"agents"},{"id":"2510.06445","title":"A Survey on Agentic Security: Applications, Threats and Defenses","created":"2025-10-07","cited_by_count":20,"area":"agents"},{"id":"2603.19469","title":"A Framework for Formalizing LLM Agent Security","created":"2026-03-19","cited_by_count":16,"area":"agents"},{"id":"2604.24026","title":"From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills","created":"2026-04-27","cited_by_count":16,"area":"agents"},{"id":"2605.26497","title":"Aligning Provenance with Authorization: A Dual-Graph Defense for LLM Agents","created":"2026-05-26","cited_by_count":15,"area":"agents"},{"id":"2602.07918","title":"CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution","created":"2026-02-08","cited_by_count":14,"area":"agents"},{"id":"2603.22862","title":"The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration","created":"2026-03-24","cited_by_count":14,"area":"agents"},{"id":"2510.11203","title":"TraceAegis: Securing LLM-Based Agents via Hierarchical and Behavioral Anomaly Detection","created":"2025-10-13","cited_by_count":12,"area":"agents"},{"id":"2510.17276","title":"Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems","created":"2025-10-20","cited_by_count":12,"area":"agents"},{"id":"2512.06914","title":"SoK: Trust-Authorization Mismatch in LLM Agent Interactions","created":"2025-12-07","cited_by_count":11,"area":"agents"},{"id":"2508.20412","title":"MindGuard: Intrinsic Decision Inspection for Securing LLM Agents Against Metadata Poisoning","created":"2025-08-28","cited_by_count":10,"area":"agents"},{"id":"2607.06000","title":"Context-to-Execution Integrity for LLM Agents","created":"2026-07-07","cited_by_count":10,"area":"agents"},{"id":"2509.25926","title":"Preventing Prompt Injection with Type-Directed Privilege Separation","created":"2025-09-30","cited_by_count":9,"area":"agents"},{"id":"2511.15203","title":"Taxonomy, Evaluation and Exploitation of IPI-Centric LLM Agent Defense Frameworks","created":"2025-11-19","cited_by_count":9,"area":"agents"},{"id":"2603.30016","title":"Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks","created":"2026-03-31","cited_by_count":9,"area":"agents"},{"id":"2605.24309","title":"Reframing LLM Agent Security as an Agent-Human Interaction Problem","created":"2026-05-23","cited_by_count":9,"area":"agents"},{"id":"2606.22504","title":"Lingering Authority: Revocable Resource-and-Effect Capabilities for Coding Agents","created":"2026-06-21","cited_by_count":8,"area":"agents"},{"id":"2601.07263","title":"When Bots Take the Bait: Exposing and Mitigating the Emerging Social Engineering Attack in Web Automation Agent","created":"2026-01-12","cited_by_count":7,"area":"agents"},{"id":"2605.11770","title":"Behavioral Integrity Verification for AI Agent Skills","created":"2026-05-12","cited_by_count":7,"area":"agents"},{"id":"2606.10525","title":"Assessing Automated Prompt Injection Attacks in Agentic Environments","created":"2026-06-09","cited_by_count":7,"area":"agents"},{"id":"2606.10749","title":"Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation","created":"2026-06-09","cited_by_count":7,"area":"agents"},{"id":"2512.05951","title":"Trusted AI Agents in the Cloud","created":"2025-12-05","cited_by_count":6,"area":"agents"},{"id":"2605.05868","title":"SkillScope: Toward Fine-Grained Least-Privilege Enforcement for Agent Skills","created":"2026-05-07","cited_by_count":5,"area":"agents"},{"id":"2606.15057","title":"AutoDojo: Adaptive Black-Box Attacks Reveal the Limits of IPI Defenses and Task-Specification Effects in LLM Agents","created":"2026-06-13","cited_by_count":5,"area":"agents"},{"id":"2602.20064","title":"The LLMbda Calculus: AI Agents, Conversations, and Information Flow","created":"2026-02-23","cited_by_count":4,"area":"agents"},{"id":"2607.29167","title":"Memory Provenance Laundering in LLM Agents: A Non-Amplification Firewall for Persistent Memory","created":"2026-07-31","cited_by_count":4,"area":"agents"},{"id":"2506.23978","title":"LLM Agents Are the Antidote to Walled Gardens","created":"2025-06-30","cited_by_count":3,"area":"agents"},{"id":"2510.17862","title":"When \"Correct\" Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?","created":"2025-10-15","cited_by_count":3,"area":"agents"},{"id":"2606.26479","title":"Adaptive Evaluation of Out-of-Band Defenses Against Prompt Injection in LLM Agents","created":"2026-06-25","cited_by_count":3,"area":"agents"},{"id":"2607.05277","title":"Untrusted Content Masking for Web Agents with Security Guarantees","created":"2026-07-06","cited_by_count":3,"area":"agents"},{"id":"2607.20121","title":"OpenSkillRisk: Benchmarking Agent Safety When Using Real-World Risky Third-Party Skills","created":"2026-07-22","cited_by_count":3,"area":"agents"},{"id":"2609.05269","title":"CONTINUITY: Security-Context Contracts for Composable LLM Agent Controls","created":"2026-09-04","cited_by_count":3,"area":"agents"},{"id":"2507.02699","title":"Your Mailbox Is Mine: Prompt Injection Attacks Against Real-World LLM Email Agents","created":"2025-07-03","cited_by_count":2,"area":"agents"},{"id":"2603.09134","title":"AgenticCyOps: Securing Multi-Agentic AI Integration in Enterprise Cyber Operations","created":"2026-03-10","cited_by_count":2,"area":"agents"},{"id":"2606.00497","title":"\"I Strongly Suspect This Website Is a Scam\": Benchmarking PII Leakage and Detection without Defense in Autonomous Web Agents","created":"2026-05-30","cited_by_count":2,"area":"agents"},{"id":"2608.22868","title":"AgentFlow: A Flow-Centric Policy Language and Framework for Securing LLM Agent Systems","created":"2026-08-24","cited_by_count":2,"area":"agents"},{"id":"2608.27496","title":"ROPE: Routed Origin Policy Enforcement against Indirect Prompt Injection","created":"2026-08-27","cited_by_count":2,"area":"agents"},{"id":"2512.11147","title":"MiniScope: A Least Privilege Framework for Authorizing Tool Calling Agents","created":"2025-12-11","cited_by_count":1,"area":"agents"},{"id":"2605.29082","title":"The Importance of Out-of-Band Metadata for Safe Autonomous Agents: The Redpanda Agentic Data Plane","created":"2026-05-27","cited_by_count":1,"area":"agents"},{"id":"2606.02302","title":"SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents","created":"2026-06-01","cited_by_count":1,"area":"agents"},{"id":"2607.05120","title":"Agent Data Injection Attacks are Realistic Threats to AI Agents","created":"2026-07-06","cited_by_count":1,"area":"agents"},{"id":"2607.29190","title":"CAGE: Certified Authorization under Typed-Return Uncertainty for Tool-Using Agents","created":"2026-07-31","cited_by_count":1,"area":"agents"},{"id":"2608.17433","title":"Task-Aware Harness Provisioning for LLM Agents in Mission-Critical Infrastructure Operations","created":"2026-08-18","cited_by_count":1,"area":"agents"},{"id":"2508.17155","title":"Mind the Gap: Time-of-Check to Time-of-Use Vulnerabilities in LLM-Enabled Agents","created":"2025-08-23","cited_by_count":0,"area":"agents"},{"id":"2510.22963","title":"When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents","created":"2025-10-27","cited_by_count":0,"area":"agents"},{"id":"2605.02187","title":"Rewriting the Response Path: Silent Tampering and Provider-Signed Defense in BYOK LLM Agents","created":"2026-05-04","cited_by_count":0,"area":"agents"},{"id":"2607.02857","title":"MOSAIC: Knowledge-Guided CLI Command Composition Attack in LLM Coding Agents","created":"2026-07-03","cited_by_count":0,"area":"agents"},{"id":"2607.03821","title":"DualView: Preventing Indirect Prompt Injection in Personal AI Agents","created":"2026-07-04","cited_by_count":0,"area":"agents"},{"id":"2607.18847","title":"Data Leakage Prevention in Agentic Applications via Preemptive Hardening","created":"2026-07-21","cited_by_count":0,"area":"agents"},{"id":"2608.01719","title":"MNC: Scope-Bound Semantic Declassification for Private LLM-Agent Communication","created":"2026-08-03","cited_by_count":0,"area":"agents"},{"id":"2608.24017","title":"WebMCP-Phalanx: Enforcing and Characterizing Trust Boundaries for Browser-Integrated LLM Agents","created":"2026-08-25","cited_by_count":0,"area":"agents"},{"id":"2608.27234","title":"SPA: Securing Persistent LLM Agents Across Queries with Plan-First Information-Flow Control","created":"2026-08-27","cited_by_count":0,"area":"agents"},{"id":"2608.30686","title":"Beyond the Payload: How User Invocation Shapes Coding Agent Vulnerability to Repository Poisoning","created":"2026-08-31","cited_by_count":0,"area":"agents"},{"id":"2609.14003","title":"Confuse the Model, Control the Flow: Understanding and Mitigating Privacy Leakage from LLM Agents with Information Flow Control","created":"2026-09-12","cited_by_count":0,"area":"agents"},{"id":"2609.23700","title":"When the Agent Becomes the Kernel: A Systematization of Security on the Path to AI-Native Operating Systems","created":"2026-09-20","cited_by_count":0,"area":"agents"},{"id":"2609.37196","title":"ToolFence: Fine-Grained Authorization for Secure Tool-Using LLM Agents","created":"2026-09-29","cited_by_count":0,"area":"agents"},{"id":"2610.01508","title":"OverAct: Measuring and Mitigating Proactive Over-Authorization in LLM Tool-Calling Agents","created":"2026-10-01","cited_by_count":0,"area":"agents"},{"id":"2610.06966","title":"APEX: Active Protection at Execution Boundaries for LLM Agents","created":"2026-10-03","cited_by_count":0,"area":"agents"}],"next_cursor":null}