{"total":267,"rows":[{"id":"2503.18813","title":"Defeating Prompt Injections by Design","created":"2025-03-24","cited_by_count":297,"area":"agents"},{"id":"2409.11295","title":"EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage","created":"2024-09-17","cited_by_count":150,"area":"agents"},{"id":"2406.13352","title":"AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents","created":"2024-06-19","cited_by_count":145,"area":"agents"},{"id":"2504.11703","title":"Progent: Securing AI Agents with Privilege Control","created":"2025-04-16","cited_by_count":141,"area":"agents"},{"id":"2410.07283","title":"Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems","created":"2024-10-09","cited_by_count":133,"area":"agents"},{"id":"2407.19354","title":"The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies","created":"2024-07-28","cited_by_count":131,"area":"agents"},{"id":"2510.09023","title":"The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections","created":"2025-10-10","cited_by_count":129,"area":"safety"},{"id":"2406.02630","title":"AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways","created":"2024-06-04","cited_by_count":127,"area":null},{"id":"2505.03574","title":"LlamaFirewall: An open source guardrail system for building secure AI agents","created":"2025-05-06","cited_by_count":127,"area":"agents"},{"id":"2504.01990","title":"Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems","created":"2025-03-31","cited_by_count":126,"area":"agents"},{"id":"2505.23643","title":"Securing AI Agents with Information-Flow Control","created":"2025-05-29","cited_by_count":121,"area":null},{"id":"2406.12814","title":"Dissecting Adversarial Robustness of Multimodal LM Agents","created":"2024-06-18","cited_by_count":120,"area":"agents"},{"id":"2504.15585","title":"A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment","created":"2025-04-22","cited_by_count":116,"area":"lr"},{"id":"2507.15219","title":"PromptArmor: Simple yet Effective Prompt Injection Defenses","created":"2025-07-21","cited_by_count":108,"area":"agents"},{"id":"2412.16682","title":"The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents","created":"2024-12-21","cited_by_count":99,"area":"agents"},{"id":"2411.00348","title":"Attention Tracker: Detecting Prompt Injection Attacks in LLMs","created":"2024-11-01","cited_by_count":95,"area":"safety"},{"id":"2602.20156","title":"Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks","created":"2026-02-23","cited_by_count":90,"area":"agents"},{"id":"2406.00083","title":"BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models","created":"2024-06-03","cited_by_count":86,"area":"rag"},{"id":"2502.05174","title":"MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents","created":"2025-02-07","cited_by_count":77,"area":"agents"},{"id":"2406.00799","title":"Get my drift? Catching LLM Task Drift with Activation Deltas","created":"2024-06-02","cited_by_count":72,"area":"rag"},{"id":"2410.09102","title":"Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy","created":"2024-10-09","cited_by_count":67,"area":"safety"},{"id":"2502.05206","title":"Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety","created":"2025-02-02","cited_by_count":67,"area":"mllm"},{"id":"2506.12104","title":"DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents","created":"2025-06-13","cited_by_count":66,"area":"agents"},{"id":"2411.09523","title":"Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents","created":"2024-11-14","cited_by_count":65,"area":"agents"},{"id":"2503.24370","title":"Effectively Controlling Reasoning Models through Thinking Intervention","created":"2025-03-31","cited_by_count":65,"area":"lr"},{"id":"2501.17070","title":"Contextual Agent Security: A Policy for Every Purpose","created":"2025-01-28","cited_by_count":59,"area":null},{"id":"2508.15310","title":"IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents","created":"2025-08-21","cited_by_count":54,"area":"agents"},{"id":"2503.12188","title":"Multi-Agent Systems Execute Arbitrary Malicious Code","created":"2025-03-15","cited_by_count":53,"area":"agents"},{"id":"2502.16580","title":"Can Indirect Prompt Injection Attacks Be Detected and Removed?","created":"2025-02-23","cited_by_count":52,"area":"safety"},{"id":"2407.14937","title":"Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)","created":"2024-07-20","cited_by_count":46,"area":"safety"},{"id":"2505.21936","title":"RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments","created":"2025-05-28","cited_by_count":46,"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":"2505.05849","title":"AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents","created":"2025-05-09","cited_by_count":42,"area":"lr"},{"id":"2406.18382","title":"Adversarial Search Engine Optimization for Large Language Models","created":"2024-06-26","cited_by_count":40,"area":null},{"id":"2411.00459","title":"Defense Against Prompt Injection Attack by Leveraging Attack Techniques","created":"2024-11-01","cited_by_count":40,"area":"safety"},{"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":"2510.19207","title":"Defending Against Prompt Injection with DataFilter","created":"2025-10-22","cited_by_count":35,"area":"safety"},{"id":"2502.15851","title":"Control Illusion: The Failure of Instruction Hierarchies in Large Language Models","created":"2025-02-21","cited_by_count":33,"area":null},{"id":"2505.06311","title":"Defending against Indirect Prompt Injection by Instruction Detection","created":"2025-05-08","cited_by_count":32,"area":"rag"},{"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":"2505.24019","title":"LLM Agents Should Employ Security Principles","created":"2025-05-29","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":"2506.01055","title":"Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution","created":"2025-06-01","cited_by_count":26,"area":"agents"},{"id":"2503.10566","title":"ASIDE: Architectural Separation of Instructions and Data in Language Models","created":"2025-03-13","cited_by_count":24,"area":"safety"},{"id":"2503.16248","title":"Real AI Agents with Fake Memories: Fatal Context Manipulation Attacks on Web3 Agents","created":"2025-03-20","cited_by_count":24,"area":"safety"},{"id":"2511.20597","title":"BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents","created":"2025-11-25","cited_by_count":24,"area":"safety"},{"id":"2501.07238","title":"Lessons From Red Teaming 100 Generative AI Products","created":"2025-01-13","cited_by_count":23,"area":"safety"},{"id":"2410.21492","title":"FATH: Authentication-based Test-time Defense against Indirect Prompt Injection Attacks","created":"2024-10-28","cited_by_count":22,"area":"safety"},{"id":"2411.14033","title":"LLM-based Multi-Agent Systems: Techniques and Business Perspectives","created":"2024-11-21","cited_by_count":22,"area":"agents"},{"id":"2504.03111","title":"Les Dissonances: Cross-Tool Harvesting and Polluting in Pool-of-Tools Empowered LLM Agents","created":"2025-04-04","cited_by_count":22,"area":"agents"},{"id":"2606.17573","title":"Cordon: Semantic Transactions for Tool-Using LLM Agents","created":"2026-06-16","cited_by_count":22,"area":"agents"},{"id":"2506.09956","title":"LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge","created":"2025-06-11","cited_by_count":21,"area":"safety"},{"id":"2603.21019","title":"SkillProbe: Security Auditing for Emerging Agent Skill Marketplaces via Multi-Agent Collaboration","created":"2026-03-22","cited_by_count":21,"area":"agents"},{"id":"2509.01909","title":"Oyster-I: Beyond Refusal -- Constructive Safety Alignment for Responsible Language Models","created":"2025-09-02","cited_by_count":19,"area":"alignment"},{"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":"2410.00296","title":"VLMGuard: Bootstrapping Malicious Prompt Detectors from Unlabeled Vision-Language Prompts in the Wild","created":"2024-10-01","cited_by_count":18,"area":"mllm"},{"id":"2510.05244","title":"Indirect Prompt Injections: Are Firewalls All You Need, or Stronger Benchmarks?","created":"2025-10-06","cited_by_count":18,"area":"safety"},{"id":"2507.13686","title":"TopicAttack: An Indirect Prompt Injection Attack via Topic Transition","created":"2025-07-18","cited_by_count":17,"area":"safety"},{"id":"2601.05755","title":"VIGIL: Defending LLM Agents Against Tool Stream Injection via Verify-Before-Commit","created":"2026-01-09","cited_by_count":17,"area":"agents"},{"id":"2603.12277","title":"Prompt Injection as Role Confusion","created":"2026-02-22","cited_by_count":17,"area":"safety"},{"id":"2504.20472","title":"Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction","created":"2025-04-29","cited_by_count":16,"area":"safety"},{"id":"2512.12594","title":"ceLLMate: Sandboxing Browser AI Agents","created":"2025-12-14","cited_by_count":16,"area":"safety"},{"id":"2603.19469","title":"A Framework for Formalizing LLM Agent Security","created":"2026-03-19","cited_by_count":16,"area":"agents"},{"id":"2505.12567","title":"A Survey of Attacks on Large Language Models","created":"2025-05-18","cited_by_count":15,"area":"agents"},{"id":"2507.07417","title":"May I have your Attention? Breaking Fine-Tuning based Prompt Injection Defenses using Architecture-Aware Attacks","created":"2025-07-10","cited_by_count":15,"area":"safety"},{"id":"2603.10521","title":"IH-Challenge: A Training Dataset to Improve Instruction Hierarchy on Frontier LLMs","created":"2026-03-11","cited_by_count":15,"area":"safety"},{"id":"2603.22868","title":"Agent-Sentry: Bounding LLM Agents via Execution Provenance","created":"2026-03-24","cited_by_count":15,"area":"agents"},{"id":"2604.23374","title":"Ghost in the Agent: Redefining Information Flow Tracking for LLM Agents","created":"2026-04-25","cited_by_count":15,"area":"agents"},{"id":"2504.07467","title":"Defense against Prompt Injection Attacks via Mixture of Encodings","created":"2025-04-10","cited_by_count":14,"area":"safety"},{"id":"2602.07918","title":"CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution","created":"2026-02-08","cited_by_count":14,"area":"agents"},{"id":"2605.03378","title":"ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection","created":"2026-05-05","cited_by_count":14,"area":"agents"},{"id":"2507.13169","title":"Prompt Injection 2.0: Hybrid AI Threats","created":"2025-07-17","cited_by_count":13,"area":"safety"},{"id":"2506.17318","title":"Context manipulation attacks : Web agents are susceptible to corrupted memory","created":"2025-06-18","cited_by_count":12,"area":"agents"},{"id":"2507.05630","title":"How Not to Detect Prompt Injections with an LLM","created":"2025-07-08","cited_by_count":12,"area":"safety"},{"id":"2510.08829","title":"CommandSans: Securing AI Agents with Surgical Precision Prompt Sanitization","created":"2025-10-09","cited_by_count":12,"area":"agents"},{"id":"2605.01970","title":"Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration","created":"2026-05-03","cited_by_count":12,"area":"agents"},{"id":"2507.02735","title":"Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks","created":"2025-07-03","cited_by_count":10,"area":"agents"},{"id":"2512.08417","title":"Attention is All You Need to Defend Against Indirect Prompt Injection Attacks in LLMs","created":"2025-12-09","cited_by_count":10,"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":"2602.11416","title":"Optimizing Agent Planning for Security and Autonomy","created":"2026-02-11","cited_by_count":10,"area":"safety"},{"id":"2601.04795","title":"Defense Against Indirect Prompt Injection via Tool Result Parsing","created":"2026-01-08","cited_by_count":9,"area":"agents"},{"id":"2601.09625","title":"The Promptware Kill Chain: How Prompt Injections Gradually Evolved Into a Multistep Malware Delivery Mechanism","created":"2026-01-14","cited_by_count":9,"area":"safety"},{"id":"2603.03258","title":"Inherited Goal Drift: Contextual Pressure Can Undermine Agentic Goals","created":"2026-03-03","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":"2410.09097","title":"Recent advancements in LLM Red-Teaming: Techniques, Defenses, and Ethical Considerations","created":"2024-10-09","cited_by_count":8,"area":"safety"},{"id":"2509.25624","title":"STAC: When Innocent Tools Form Dangerous Chains for LLM Agents","created":"2025-09-30","cited_by_count":8,"area":"agents"},{"id":"2603.12230","title":"Security Considerations for Artificial Intelligence Agents","created":"2026-03-12","cited_by_count":8,"area":null},{"id":"2606.22528","title":"Governance Decay: How Context Compaction Silently Erases Safety Constraints in Long-Horizon LLM Agents","created":"2026-06-21","cited_by_count":8,"area":"agents"},{"id":"2501.07927","title":"Gandalf the Red: Adaptive Security for LLMs","created":"2025-01-14","cited_by_count":7,"area":null},{"id":"2512.05745","title":"ARGUS: Defending Against Multimodal Indirect Prompt Injection via Steering Instruction-Following Behavior","created":"2025-12-05","cited_by_count":7,"area":"mllm"},{"id":"2604.07775","title":"ACIArena: Toward Unified Evaluation for Agent Cascading Injection","created":"2026-04-09","cited_by_count":7,"area":null},{"id":"2605.00314","title":"Semia: Auditing Agent Skills via Constraint-Guided Representation Synthesis","created":"2026-05-01","cited_by_count":7,"area":"agents"},{"id":"2605.03228","title":"Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory","created":"2026-05-04","cited_by_count":7,"area":"agents"},{"id":"2605.24659","title":"IterInject: Indirect Prompt Injection Against LLM Agents via Feedback-Guided Iterative Optimization","created":"2026-05-23","cited_by_count":7,"area":"agents"},{"id":"2606.07943","title":"Poise: Position-Aware One-Instruction Skill Injection for Silent Execution on LLM Agents","created":"2026-06-06","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":"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"}],"next_cursor":"100"}