{"total":71,"rows":[{"id":"2504.21034","title":"SAGA: A Security Architecture for Governing AI Agentic Systems","created":"2025-04-27","cited_by_count":45,"area":"agents"},{"id":"2504.21039","title":"Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report","created":"2025-04-28","cited_by_count":31,"area":null},{"id":"2508.01059","title":"Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report","created":"2025-08-01","cited_by_count":23,"area":null},{"id":"2504.05408","title":"Frontier AI's Impact on the Cybersecurity Landscape","created":"2025-04-07","cited_by_count":21,"area":null},{"id":"2507.14201","title":"ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation","created":"2025-07-14","cited_by_count":15,"area":"agents"},{"id":"2510.00311","title":"CORTEX: Collaborative LLM Agents for High-Stakes Alert Triage","created":"2025-09-30","cited_by_count":14,"area":"agents"},{"id":"2510.24317","title":"Cybersecurity AI Benchmark (CAIBench): A Meta-Benchmark for Evaluating Cybersecurity AI Agents","created":"2025-10-28","cited_by_count":12,"area":"agents"},{"id":"2507.02424","title":"CyberRAG: An Agentic RAG cyber attack classification and reporting tool","created":"2025-07-03","cited_by_count":11,"area":"rag"},{"id":"2603.01246","title":"Defensive Refusal Bias: How Safety Alignment Fails Cyber Defenders","created":"2026-03-01","cited_by_count":10,"area":"alignment"},{"id":"2509.10858","title":"Large Language Models for Security Operations Centers: A Comprehensive Survey","created":"2025-09-13","cited_by_count":9,"area":null},{"id":"2410.19223","title":"Integrating Large Language Models with Internet of Things Applications","created":"2024-10-25","cited_by_count":7,"area":null},{"id":"2601.03335","title":"Digital Red Queen: Adversarial Program Evolution in Core War with LLMs","created":"2026-01-06","cited_by_count":7,"area":null},{"id":"2601.21051","title":"Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical Report","created":"2026-01-28","cited_by_count":7,"area":"lr"},{"id":"2504.00446","title":"Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics","created":"2025-04-01","cited_by_count":6,"area":"safety"},{"id":"2509.23571","title":"Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting","created":"2025-09-28","cited_by_count":6,"area":null},{"id":"2602.02164","title":"Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents","created":"2026-02-02","cited_by_count":6,"area":"agents"},{"id":"2502.18528","title":"ARACNE: An LLM-Based Autonomous Shell Pentesting Agent","created":"2025-02-24","cited_by_count":5,"area":"agents"},{"id":"2507.16241","title":"eX-NIDS: A Framework for Explainable Network Intrusion Detection Leveraging Large Language Models","created":"2025-07-22","cited_by_count":5,"area":null},{"id":"2412.02301","title":"Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction","created":"2024-12-03","cited_by_count":4,"area":"agents"},{"id":"2506.00739","title":"DefenderBench: A Toolkit for Evaluating Language Agents in Cybersecurity Environments","created":"2025-05-31","cited_by_count":4,"area":"agents"},{"id":"2506.01386","title":"ThinkEval: Practical Evaluation of Knowledge Leakage in LLM Editing using Thought-based Knowledge Graphs","created":"2025-06-02","cited_by_count":4,"area":"lr"},{"id":"2507.02390","title":"Evaluating Language Models For Threat Detection in IoT Security Logs","created":"2025-07-03","cited_by_count":4,"area":null},{"id":"2508.05670","title":"Can LLMs effectively provide game-theoretic-based scenarios for cybersecurity?","created":"2025-08-04","cited_by_count":4,"area":null},{"id":"2510.01409","title":"OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models","created":"2025-10-01","cited_by_count":4,"area":null},{"id":"2510.02389","title":"From Trace to Line: LLM Agent for Real-World OSS Vulnerability Localization","created":"2025-09-30","cited_by_count":4,"area":"agents"},{"id":"2510.14113","title":"Toward Cybersecurity-Expert Small Language Models","created":"2025-10-15","cited_by_count":4,"area":null},{"id":"2510.21192","title":"Gen-Review: A Large-scale Dataset of AI-Generated (and Human-written) Peer Reviews","created":"2025-10-24","cited_by_count":4,"area":null},{"id":"2410.14231","title":"Unveiling Large Language Models Generated Texts: A Multi-Level Fine-Grained Detection Framework","created":"2024-10-18","cited_by_count":3,"area":null},{"id":"2410.15396","title":"The Best Defense is a Good Offense: Countering LLM-Powered Cyberattacks","created":"2024-10-20","cited_by_count":3,"area":null},{"id":"2503.03108","title":"OMNISEC: LLM-Driven Provenance-based Intrusion Detection via Retrieval-Augmented Behavior Prompting","created":"2025-03-05","cited_by_count":3,"area":null},{"id":"2504.12143","title":"ARCeR: an Agentic RAG for the Automated Definition of Cyber Ranges","created":"2025-04-16","cited_by_count":3,"area":"agents"},{"id":"2506.10467","title":"Specification and Evaluation of Multi-Agent LLM Systems -- Prototype and Cybersecurity Applications","created":"2025-06-12","cited_by_count":3,"area":"lr"},{"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":"2505.22311","title":"From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications","created":"2025-05-28","cited_by_count":2,"area":"agents"},{"id":"2508.08629","title":"Securing Educational LLMs: A Generalised Taxonomy of Attacks on LLMs and DREAD Risk Assessment","created":"2025-08-12","cited_by_count":2,"area":"safety"},{"id":"2509.06921","title":"Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities","created":"2025-09-08","cited_by_count":2,"area":null},{"id":"2510.21459","title":"SBASH: a Framework for Designing and Evaluating RAG vs. Prompt-Tuned LLM Honeypots","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2511.20480","title":"Ranking-Enhanced Anomaly Detection Using Active Learning-Assisted Attention Adversarial Dual AutoEncoders","created":"2025-11-25","cited_by_count":2,"area":null},{"id":"2512.06659","title":"The Evolution of Agentic AI in Cybersecurity: From Single LLM Reasoners to Multi-Agent Systems and Autonomous Pipelines","created":"2025-12-07","cited_by_count":2,"area":"agents"},{"id":"2605.21497","title":"Autonomous LLM Agents & CTFs: A Second Look","created":"2026-04-29","cited_by_count":2,"area":"agents"},{"id":"2503.18487","title":"Large Language Models powered Malicious Traffic Detection: Architecture, Opportunities and Case Study","created":"2025-03-24","cited_by_count":1,"area":null},{"id":"2504.00421","title":"Can LLMs Assist Computer Education? an Empirical Case Study of DeepSeek","created":"2025-04-01","cited_by_count":1,"area":null},{"id":"2509.02411","title":"A Survey: Towards Privacy and Security in Mobile Large Language Models","created":"2025-09-02","cited_by_count":1,"area":null},{"id":"2509.10682","title":"LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems","created":"2025-09-12","cited_by_count":1,"area":null},{"id":"2601.03287","title":"Automated Post-Incident Policy Gap Analysis via Threat-Informed Evidence Mapping using Large Language Models","created":"2026-01-04","cited_by_count":1,"area":null},{"id":"2602.00219","title":"Tri-LLM Cooperative Federated Zero-Shot Intrusion Detection with Semantic Disagreement and Trust-Aware Aggregation","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2603.06862","title":"Supporting Artifact Evaluation with LLMs: A Study with Published Security Research Papers","created":"2026-03-06","cited_by_count":1,"area":null},{"id":"2604.02490","title":"Automated Malware Family Classification using Weighted Hierarchical Ensembles of Large Language Models","created":"2026-04-02","cited_by_count":1,"area":null},{"id":"2604.03912","title":"Automating Cloud Security and Forensics Through a Secure-by-Design Generative AI Framework","created":"2026-04-05","cited_by_count":1,"area":"safety"},{"id":"2604.21700","title":"Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers","created":"2026-04-23","cited_by_count":1,"area":"safety"},{"id":"2607.05842","title":"Beyond Refusal: A Same-Lineage Study of Aligned and Abliterated LLMs for Vulnerability Analysis","created":"2026-07-07","cited_by_count":1,"area":null},{"id":"2608.02422","title":"Agentic Incident Response through Digital Twin-Enhanced Multiscale Planning","created":"2026-08-03","cited_by_count":1,"area":"agents"},{"id":"2409.10561","title":"DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models","created":"2024-09-11","cited_by_count":0,"area":null},{"id":"2412.17531","title":"Invisible Textual Backdoor Attacks based on Dual-Trigger","created":"2024-12-23","cited_by_count":0,"area":"safety"},{"id":"2505.04265","title":"Weaponizing Language Models for Cybersecurity Offensive Operations: Automating Vulnerability Assessment Report Validation; A Review Paper","created":"2025-05-07","cited_by_count":0,"area":null},{"id":"2506.04838","title":"On Automating Security Policies with Contemporary LLMs","created":"2025-06-05","cited_by_count":0,"area":null},{"id":"2509.05380","title":"Cumplimiento del Reglamento (UE) 2024/1689 en rob\\'otica y sistemas aut\\'onomos: una revisi\\'on sistem\\'atica de la literatura","created":"2025-09-04","cited_by_count":0,"area":null},{"id":"2510.06343","title":"Leveraging Large Language Models for Cybersecurity Risk Assessment -- A Case from Forestry Cyber-Physical Systems","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2510.18585","title":"CLASP: Cost-Optimized LLM-based Agentic System for Phishing Detection","created":"2025-10-21","cited_by_count":0,"area":"agents"},{"id":"2511.05406","title":"Large Language Models for Explainable Threat Intelligence","created":"2025-11-07","cited_by_count":0,"area":"rag"},{"id":"2512.15081","title":"Quantifying Return on Security Controls in LLM Systems","created":"2025-12-17","cited_by_count":0,"area":"safety"},{"id":"2512.21238","title":"Assessing the Software Security Comprehension of Large Language Models","created":"2025-12-24","cited_by_count":0,"area":null},{"id":"2602.14106","title":"Anticipating Adversary Behavior in DevSecOps Scenarios through Large Language Models","created":"2026-02-15","cited_by_count":0,"area":null},{"id":"2602.19021","title":"Trustworthy AI LLM Scalability Risk Index (LSRI): A Cybersecurity Framework Assessing Agentic-AI Security & Software Model Supply Chain Safety Boosting AI-Generated Malware Defense & Explainability Mitigating Emerging Risks of Generative AI","created":"2026-02-22","cited_by_count":0,"area":"agents"},{"id":"2603.00200","title":"LiaisonAgent: An Multi-Agent Framework for Autonomous Risk Investigation and Governance","created":"2026-02-27","cited_by_count":0,"area":null},{"id":"2604.04852","title":"Strengthening Human-Centric Chain-of-Thought Reasoning Integrity in LLMs via a Structured Prompt Framework","created":"2026-04-06","cited_by_count":0,"area":"lr"},{"id":"2604.06900","title":"SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2605.00072","title":"XekRung Technical Report","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2605.10808","title":"Threat Modelling using Domain-Adapted Language Models: Empirical Evaluation and Insights","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2608.16893","title":"A Framework for Using and Evaluating LLMs as Surrogate Experts in Security Surveys: Reliability, Bias, and Implications","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2609.24710","title":"Reasoning Topology Matters: A Controlled Study of LLM-Based Cybersecurity Analysis","created":"2026-09-21","cited_by_count":0,"area":"lr"}],"next_cursor":null}