{"total":119,"rows":[{"id":"2504.11358","title":"DataSentinel: A Game-Theoretic Detection of Prompt Injection Attacks","created":"2025-04-15","cited_by_count":143,"area":"safety"},{"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":"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":"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":"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":"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":"2504.14348","title":"Manipulating Multimodal Agents via Cross-Modal Prompt Injection","created":"2025-04-19","cited_by_count":44,"area":"mllm"},{"id":"2602.16901","title":"AgentLAB: Benchmarking LLM Agents against Long-Horizon Attacks","created":"2026-02-18","cited_by_count":39,"area":"agents"},{"id":"2411.14110","title":"Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications","created":"2024-11-21","cited_by_count":37,"area":"rag"},{"id":"2505.18333","title":"A Critical Evaluation of Defenses against Prompt Injection Attacks","created":"2025-05-23","cited_by_count":36,"area":"safety"},{"id":"2510.04885","title":"RL Is a Hammer and LLMs Are Nails: A Simple Reinforcement Learning Recipe for Strong Prompt Injection","created":"2025-10-06","cited_by_count":36,"area":"agents"},{"id":"2510.19207","title":"Defending Against Prompt Injection with DataFilter","created":"2025-10-22","cited_by_count":35,"area":"safety"},{"id":"2505.04806","title":"Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs","created":"2025-05-07","cited_by_count":34,"area":"safety"},{"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":"2510.12252","title":"PromptLocate: Localizing Prompt Injection Attacks","created":"2025-10-14","cited_by_count":28,"area":"safety"},{"id":"2510.23883","title":"Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges","created":"2025-10-27","cited_by_count":28,"area":"agents"},{"id":"2409.08087","title":"Securing Large Language Models: Addressing Bias, Misinformation, and Prompt Attacks","created":"2024-09-12","cited_by_count":26,"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":"2410.14827","title":"Enhancing Prompt Injection Attacks to LLMs via Poisoning Alignment","created":"2024-10-18","cited_by_count":21,"area":"safety"},{"id":"2602.01539","title":"MAGIC: A Co-Evolving Attacker-Defender Adversarial Game for Robust LLM Safety","created":"2026-02-02","cited_by_count":21,"area":"alignment"},{"id":"2510.14005","title":"PIShield: Detecting Prompt Injection Attacks via Intrinsic LLM Features","created":"2025-10-15","cited_by_count":20,"area":"safety"},{"id":"2407.03453","title":"On Large Language Models in National Security Applications","created":"2024-07-03","cited_by_count":19,"area":null},{"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":"2509.21011","title":"Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools","created":"2025-09-25","cited_by_count":18,"area":"agents"},{"id":"2512.09321","title":"ObliInjection: Order-Oblivious Prompt Injection Attack to LLM Agents with Multi-source Data","created":"2025-12-10","cited_by_count":18,"area":"agents"},{"id":"2409.14729","title":"PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs","created":"2024-09-23","cited_by_count":17,"area":"safety"},{"id":"2405.14189","title":"Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization","created":"2024-05-23","cited_by_count":16,"area":"safety"},{"id":"2502.04951","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","created":"2025-02-07","cited_by_count":16,"area":null},{"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":"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":"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":"2501.13080","title":"Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment","created":"2025-01-22","cited_by_count":14,"area":"lr"},{"id":"2409.01630","title":"SafeEmbodAI: a Safety Framework for Mobile Robots in Embodied AI Systems","created":"2024-09-03","cited_by_count":13,"area":null},{"id":"2507.13169","title":"Prompt Injection 2.0: Hybrid AI Threats","created":"2025-07-17","cited_by_count":13,"area":"safety"},{"id":"2507.05630","title":"How Not to Detect Prompt Injections with an LLM","created":"2025-07-08","cited_by_count":12,"area":"safety"},{"id":"2505.17406","title":"Robust Answers, Fragile Logic: Probing the Decoupling Hypothesis in LLM Reasoning","created":"2025-05-23","cited_by_count":11,"area":"lr"},{"id":"2510.00181","title":"CHAI: Command Hijacking against embodied AI","created":"2025-09-30","cited_by_count":11,"area":null},{"id":"2505.13348","title":"Investigating the Vulnerability of LLM-as-a-Judge Architectures to Prompt-Injection Attacks","created":"2025-05-19","cited_by_count":10,"area":null},{"id":"2505.16934","title":"In-Context Watermarks for Large Language Models","created":"2025-05-22","cited_by_count":10,"area":"safety"},{"id":"2506.07524","title":"TAI3: Testing Agent Integrity in Interpreting User Intent","created":"2025-06-09","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":"2505.01177","title":"LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures","created":"2025-05-02","cited_by_count":8,"area":null},{"id":"2604.15367","title":"SoK: Security of Autonomous LLM Agents in Agentic Commerce","created":"2026-04-15","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":"2507.06323","title":"Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms","created":"2025-07-08","cited_by_count":7,"area":"agents"},{"id":"2508.03793","title":"AttnTrace: Contextual Attribution of Prompt Injection and Knowledge Corruption","created":"2025-08-05","cited_by_count":7,"area":"rag"},{"id":"2510.21144","title":"NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge","created":"2025-10-24","cited_by_count":7,"area":"rag"},{"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":"2605.11514","title":"FlowSteer: Prompt-Only Workflow Steering Exposes Planning-Time Vulnerabilities in Multi-Agent LLM Systems","created":"2026-05-12","cited_by_count":7,"area":"agents"},{"id":"2405.11612","title":"Sociotechnical Implications of Generative Artificial Intelligence for Information Access","created":"2024-05-19","cited_by_count":6,"area":null},{"id":"2409.03274","title":"Recent Advances in Attack and Defense Approaches of Large Language Models","created":"2024-09-05","cited_by_count":6,"area":null},{"id":"2412.08099","title":"Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting","created":"2024-12-11","cited_by_count":6,"area":null},{"id":"2504.09841","title":"StruPhantom: Evolutionary Injection Attacks on Black-Box Tabular Agents Powered by Large Language Models","created":"2025-04-14","cited_by_count":6,"area":"agents"},{"id":"2504.18333","title":"Adversarial Attacks on LLM-as-a-Judge Systems: Insights from Prompt Injections","created":"2025-04-25","cited_by_count":6,"area":"safety"},{"id":"2604.01194","title":"AgentWatcher: A Rule-based Prompt Injection Monitor","created":"2026-04-01","cited_by_count":6,"area":"safety"},{"id":"2507.15042","title":"DeRAG: Black-box Adversarial Attacks on Multiple Retrieval-Augmented Generation Applications via Prompt Injection","created":"2025-07-20","cited_by_count":5,"area":"rag"},{"id":"2603.20933","title":"AC4A: Access Control for Agents","created":"2026-03-21","cited_by_count":5,"area":"agents"},{"id":"2605.28999","title":"Measuring Real-World Prompt Injection Attacks in LLM-based Resume Screening","created":"2026-05-27","cited_by_count":5,"area":"safety"},{"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":"2410.04234","title":"Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks","created":"2024-10-05","cited_by_count":4,"area":"safety"},{"id":"2410.23678","title":"Goal Hijacking Attack on Large Language Models via Pseudo-Conversation Injection","created":"2024-10-31","cited_by_count":4,"area":null},{"id":"2504.20493","title":"Token-Efficient Prompt Injection Attack: Provoking Cessation in LLM Reasoning via Adaptive Token Compression","created":"2025-04-29","cited_by_count":4,"area":"lr"},{"id":"2506.07330","title":"JavelinGuard: Low-Cost Transformer Architectures for LLM Security","created":"2025-06-09","cited_by_count":4,"area":null},{"id":"2603.22751","title":"Observable Channels, Not Just Storage: Evaluating Privacy Leakage in LLM Agent Pipelines","created":"2026-03-24","cited_by_count":4,"area":"agents"},{"id":"2508.18652","title":"UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation","created":"2025-08-26","cited_by_count":3,"area":"rag"},{"id":"2508.19287","title":"Prompt-in-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behavior","created":"2025-08-25","cited_by_count":3,"area":null},{"id":"2510.00451","title":"A Call to Action for a Secure-by-Design Generative AI Paradigm","created":"2025-10-01","cited_by_count":3,"area":"safety"},{"id":"2510.00452","title":"Cloud Investigation Automation Framework (CIAF): An AI-Driven Approach to Cloud Forensics","created":"2025-10-01","cited_by_count":3,"area":null},{"id":"2603.00801","title":"The Synthetic Web: Adversarially-Curated Mini-Internets for Diagnosing Epistemic Weaknesses of Language Agents","created":"2026-02-28","cited_by_count":3,"area":null},{"id":"2411.15222","title":"Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation","created":"2024-11-21","cited_by_count":2,"area":null},{"id":"2412.20087","title":"On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs","created":"2024-12-28","cited_by_count":2,"area":null},{"id":"2503.20320","title":"Iterative Prompting with Persuasion Skills in Jailbreaking Large Language Models","created":"2025-03-26","cited_by_count":2,"area":"safety"},{"id":"2504.05689","title":"Separator Injection Attack: Uncovering Dialogue Biases in Large Language Models Caused by Role Separators","created":"2025-04-08","cited_by_count":2,"area":"safety"},{"id":"2505.19766","title":"PAM: Training Policy-Aligned Moderation Filters at Scale","created":"2025-05-26","cited_by_count":2,"area":"safety"},{"id":"2506.05376","title":"A Red Teaming Roadmap Towards System-Level Safety","created":"2025-05-30","cited_by_count":2,"area":"safety"},{"id":"2509.24408","title":"FuncPoison: Poisoning Function Library to Hijack Multi-agent Autonomous Driving Systems","created":"2025-09-29","cited_by_count":2,"area":"driving"},{"id":"2510.10271","title":"MetaBreak: Jailbreaking Online LLM Services via Special Token Manipulation","created":"2025-10-11","cited_by_count":2,"area":"safety"},{"id":"2510.11837","title":"Countermind: A Multi-Layered Security Architecture for Large Language Models","created":"2025-10-13","cited_by_count":2,"area":"safety"},{"id":"2510.16259","title":"Distractor Injection Attacks on Large Reasoning Models: Characterization and Defense","created":"2025-10-17","cited_by_count":2,"area":"lr"},{"id":"2510.16381","title":"ATA: A Neuro-Symbolic Approach to Implement Autonomous and Trustworthy Agents","created":"2025-10-18","cited_by_count":2,"area":"agents"},{"id":"2602.01795","title":"RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse","created":"2026-02-02","cited_by_count":2,"area":"lr"},{"id":"2603.22479","title":"Cognitive Training for Language Models: Towards General Capabilities via Cross-Entropy Games","created":"2026-03-23","cited_by_count":2,"area":null},{"id":"2603.24203","title":"Invisible Threats from Model Context Protocol: Generating Stealthy Injection Payload via Tree-based Adaptive Search","created":"2026-03-25","cited_by_count":2,"area":"agents"},{"id":"2605.17480","title":"The Capability Paradox: How Smarter Auditors Make Multi-Agent Systems Less Secure","created":"2026-05-17","cited_by_count":2,"area":"agents"},{"id":"2606.12737","title":"PI-Hunter: Automated Red-Teaming for Exposing and Localizing Prompt Injections","created":"2026-06-10","cited_by_count":2,"area":"agents"},{"id":"2608.19982","title":"COPA: Continual Preference Optimization for Adaptive Prompt Injection Defense","created":"2026-08-20","cited_by_count":2,"area":"alignment"},{"id":"2505.00843","title":"OET: Optimization-based prompt injection Evaluation Toolkit","created":"2025-05-01","cited_by_count":1,"area":"safety"},{"id":"2508.10404","title":"Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation","created":"2025-08-14","cited_by_count":1,"area":"safety"},{"id":"2510.04528","title":"Unified Threat Detection and Mitigation Framework (UTDMF): Combating Prompt Injection, Deception, and Bias in Enterprise-Scale Transformers","created":"2025-10-06","cited_by_count":1,"area":"safety"},{"id":"2602.04813","title":"Agentic AI in Healthcare & Medicine: A Seven-Dimensional Taxonomy for Empirical Evaluation of LLM-based Agents","created":"2026-02-04","cited_by_count":1,"area":"agents"},{"id":"2602.05066","title":"Bypassing AI Control Protocols via Agent-as-a-Proxy Attacks","created":"2026-02-04","cited_by_count":1,"area":"agents"},{"id":"2602.07104","title":"Extended to Reality: Prompt Injection in 3D Environments","created":"2026-02-06","cited_by_count":1,"area":"mllm"},{"id":"2603.03753","title":"Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing","created":"2026-03-04","cited_by_count":1,"area":"agents"},{"id":"2603.18433","title":"Prompt Control-Flow Integrity: A Priority-Aware Runtime Defense Against Prompt Injection in LLM Systems","created":"2026-03-19","cited_by_count":1,"area":"safety"},{"id":"2603.25176","title":"Prompt Attack Detection with LLM-as-a-Judge and Mixture-of-Models","created":"2026-03-26","cited_by_count":1,"area":"safety"}],"next_cursor":"100"}