{"total":66,"rows":[{"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":"2603.10749","title":"AttriGuard: Defeating Indirect Prompt Injection in LLM Agents via Causal Attribution of Tool Invocations","created":"2026-03-11","cited_by_count":38,"area":"agents"},{"id":"2606.04329","title":"From Untrusted Input to Trusted Memory: A Systematic Study of Memory Poisoning Attacks in LLM Agents","created":"2026-06-03","cited_by_count":33,"area":"agents"},{"id":"2509.22830","title":"ChatInject: Abusing Chat Templates for Prompt Injection in LLM Agents","created":"2025-09-26","cited_by_count":31,"area":"agents"},{"id":"2601.17548","title":"Prompt Injection Attacks on Agentic Coding Assistants: A Systematic Analysis of Vulnerabilities in Skills, Tools, and Protocol Ecosystems","created":"2026-01-24","cited_by_count":31,"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":"2603.11619","title":"Taming OpenClaw: Security Analysis and Mitigation of Autonomous LLM Agent Threats","created":"2026-03-12","cited_by_count":29,"area":"agents"},{"id":"2510.23883","title":"Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges","created":"2025-10-27","cited_by_count":28,"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":"2510.01354","title":"WAInjectBench: Benchmarking Prompt Injection Detections for Web Agents","created":"2025-10-01","cited_by_count":24,"area":"agents"},{"id":"2602.12194","title":"MalTool: Malicious Tool Attacks on LLM Agents","created":"2026-02-12","cited_by_count":20,"area":"agents"},{"id":"2510.24411","title":"OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows","created":"2025-10-28","cited_by_count":19,"area":"agents"},{"id":"2601.17549","title":"Breaking the Protocol: Security Analysis of the Model Context Protocol Specification and Prompt Injection Vulnerabilities in Tool-Integrated LLM Agents","created":"2026-01-24","cited_by_count":19,"area":"agents"},{"id":"2603.19469","title":"A Framework for Formalizing LLM Agent Security","created":"2026-03-19","cited_by_count":16,"area":"agents"},{"id":"2601.12560","title":"Agentic Artificial Intelligence (AI): Architectures, Taxonomies, and Evaluation of Large Language Model Agents","created":"2026-01-18","cited_by_count":14,"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":"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":"2602.03792","title":"WebSentinel: Detecting and Localizing Prompt Injection Attacks for Web Agents","created":"2026-02-03","cited_by_count":11,"area":"agents"},{"id":"2602.14161","title":"When Benchmarks Lie: Evaluating Malicious Prompt Classifiers Under True Distribution Shift","created":"2026-02-15","cited_by_count":11,"area":"agents"},{"id":"2602.07398","title":"AgentSys: Secure and Dynamic LLM Agents Through Explicit Hierarchical Memory Management","created":"2026-02-07","cited_by_count":10,"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":"2512.00966","title":"Mitigating Indirect Prompt Injection via Instruction-Following Intent Analysis","created":"2025-11-30","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":"2602.08995","title":"When Actions Go Off-Task: Detecting and Correcting Misaligned Actions in Computer-Use Agents","created":"2026-02-09","cited_by_count":8,"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":"2604.22888","title":"RouteGuard: Internal-Signal Detection of Skill Poisoning in LLM Agents","created":"2026-04-24","cited_by_count":7,"area":"agents"},{"id":"2606.16287","title":"Dynamic Malicious Skills in Agentic AI","created":"2026-06-15","cited_by_count":7,"area":"agents"},{"id":"2608.02657","title":"Your Agentic LLMs Secretly Encode Indirect Prompt-Injection Exposure in Hidden States","created":"2026-08-01","cited_by_count":7,"area":"agents"},{"id":"2509.24240","title":"Takedown: How It's Done in Modern Coding Agent Exploits","created":"2025-09-29","cited_by_count":6,"area":"agents"},{"id":"2607.06595","title":"When Agents Remember Too Much: Memory Poisoning Attacks on Large Language Model Agents","created":"2026-07-06","cited_by_count":6,"area":"agents"},{"id":"2605.13044","title":"No Attack Required: Semantic Fuzzing for Specification Violations in Agent Skills","created":"2026-05-13","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":"2604.00835","title":"Agentic Tool Use in Large Language Models","created":"2026-04-01","cited_by_count":4,"area":"agents"},{"id":"2604.25562","title":"SnapGuard: Lightweight Prompt Injection Detection for Screenshot-Based Web Agents","created":"2026-04-28","cited_by_count":4,"area":"agents"},{"id":"2605.15030","title":"WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections","created":"2026-05-14","cited_by_count":4,"area":"agents"},{"id":"2606.15609","title":"FragFuse: Bypassing Access Control of Large Language Model Agents via Memory-Based Query Fragmentation and Fusion","created":"2026-06-14","cited_by_count":4,"area":"agents"},{"id":"2510.21057","title":"Soft Instruction De-escalation Defense","created":"2025-10-24","cited_by_count":3,"area":"agents"},{"id":"2601.22569","title":"Whispers of Wealth: Red-Teaming Google's Agent Payments Protocol via Prompt Injection","created":"2026-01-30","cited_by_count":3,"area":"agents"},{"id":"2604.26274","title":"Enforcing Benign Trajectories: A Behavioral Firewall for Structured-Workflow AI Agents","created":"2026-04-29","cited_by_count":3,"area":"agents"},{"id":"2605.16976","title":"Securing LLM Agents Need Intent-to-Execution Integrity","created":"2026-05-16","cited_by_count":3,"area":"agents"},{"id":"2605.19240","title":"CASPIAN: Online Detection and Attribution of Cascade Attacks in LLM Multi-Agent Systems via Cross-Channel Causal Monitoring","created":"2026-05-19","cited_by_count":3,"area":"agents"},{"id":"2608.06477","title":"StepJack: Benchmarking Computer-Use Agent Safety Against Multi-Step Indirect Prompt Injection","created":"2026-08-06","cited_by_count":3,"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":"2606.05233","title":"Domain-Conditioned Safety in Frontier Computer-Using Agents: A 793-Episode Browser Benchmark, a Coding-Domain Cross-Reference, and a Reproducibility Audit of Recent Red-Teaming","created":"2026-06-03","cited_by_count":1,"area":"agents"},{"id":"2606.14027","title":"Same-Origin Policy for Agentic Browsers","created":"2026-06-12","cited_by_count":1,"area":"agents"},{"id":"2606.23277","title":"GIF: Locally Sound Geometric Information Flow Control for LLMs","created":"2026-06-22","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":"2608.05108","title":"Agent Against Agent: An Agentic System for Automatic Prompt Injection Red Teaming","created":"2026-08-05","cited_by_count":1,"area":"agents"},{"id":"2609.24446","title":"ActGov: Governing LLM Agent Actions via Policy-Constrained Validation","created":"2026-09-21","cited_by_count":1,"area":"agents"},{"id":"2610.05295","title":"Readable Before Actionable: Causal Tracing of Indirect Prompt Injection","created":"2026-10-04","cited_by_count":1,"area":"agents"},{"id":"2604.27464","title":"Security Attack and Defense Strategies for Autonomous Agent Frameworks: A Layered Review with OpenClaw as a Case Study","created":"2026-04-30","cited_by_count":0,"area":"agents"},{"id":"2605.30677","title":"Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents","created":"2026-05-29","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":"2607.05743","title":"The Balkanization of Execution-Security Research for AI Coding Agents: Isolation, Access Control, and Time-of-Check-to-Time-of-Use Vulnerabilities","created":"2026-07-07","cited_by_count":0,"area":"agents"},{"id":"2608.11295","title":"Backdoor Decontamination Dynamics in LLM Agents","created":"2026-08-11","cited_by_count":0,"area":"agents"},{"id":"2608.27800","title":"ContextLeak: Exfiltrating LLM Agent Context via Malicious Tools","created":"2026-08-28","cited_by_count":0,"area":"agents"},{"id":"2609.08371","title":"Authority Is Not a String: A Capability-Scoped Harness for Prompt-Injection-Resistant Coding Agents","created":"2026-09-08","cited_by_count":0,"area":"agents"},{"id":"2609.27542","title":"Control-Token Injection Suppresses Chain-of-Thought and Defeats Reasoning-Based Oversight in Tool-Using Agents","created":"2026-09-23","cited_by_count":0,"area":"agents"},{"id":"2609.31318","title":"AgentXploit: Autonomous Repository-to-Runtime Red-Teaming for AI Agents","created":"2026-09-25","cited_by_count":0,"area":"agents"},{"id":"2609.34463","title":"CoDeL: Co-Evolutionary Defense against Indirect Prompt Injection in LLM-based Agents","created":"2026-09-28","cited_by_count":0,"area":"agents"},{"id":"2609.35807","title":"Environment Steering: Using Data Flow Control to Improve Agent Utility and Safety","created":"2026-09-19","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":"2610.09264","title":"Package Hallucination Attacks on Coding Agents through Prompt Injection in Rule Files","created":"2026-10-07","cited_by_count":0,"area":"agents"}],"next_cursor":null}