{"total":83,"rows":[{"id":"2308.10620","title":"Large Language Models for Software Engineering: A Systematic Literature Review","created":"2023-08-21","cited_by_count":399,"area":null},{"id":"2312.02003","title":"A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly","created":"2023-12-04","cited_by_count":387,"area":null},{"id":"2404.08144","title":"LLM Agents can Autonomously Exploit One-day Vulnerabilities","created":"2024-04-11","cited_by_count":128,"area":"agents"},{"id":"2403.01038","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","created":"2024-03-02","cited_by_count":96,"area":null},{"id":"2406.01637","title":"Teams of LLM Agents can Exploit Zero-Day Vulnerabilities","created":"2024-06-02","cited_by_count":95,"area":"agents"},{"id":"2408.02479","title":"From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future","created":"2024-08-05","cited_by_count":86,"area":"agents"},{"id":"2405.03644","title":"When LLMs Meet Cybersecurity: A Systematic Literature Review","created":"2024-05-06","cited_by_count":71,"area":null},{"id":"2411.05185","title":"PentestAgent: Incorporating LLM Agents to Automated Penetration Testing","created":"2024-11-07","cited_by_count":47,"area":"agents"},{"id":"2412.01778","title":"HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing","created":"2024-12-02","cited_by_count":37,"area":"agents"},{"id":"2402.00891","title":"Large Language Models in Cybersecurity: State-of-the-Art","created":"2024-01-30","cited_by_count":34,"area":null},{"id":"2501.13411","title":"VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework","created":"2025-01-23","cited_by_count":31,"area":"agents"},{"id":"2310.11409","title":"LLMs as Hackers: Autonomous Linux Privilege Escalation Attacks","created":"2023-10-17","cited_by_count":27,"area":null},{"id":"2310.06046","title":"LLM for SoC Security: A Paradigm Shift","created":"2023-10-09","cited_by_count":22,"area":null},{"id":"2410.03225","title":"AutoPenBench: Benchmarking Generative Agents for Penetration Testing","created":"2024-10-04","cited_by_count":21,"area":"agents"},{"id":"2504.05408","title":"Frontier AI's Impact on the Cybersecurity Landscape","created":"2025-04-07","cited_by_count":21,"area":null},{"id":"2308.12086","title":"Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments","created":"2023-08-23","cited_by_count":18,"area":null},{"id":"2501.16466","title":"Incalmo: An Autonomous LLM-assisted System for Red Teaming Multi-Host Networks","created":"2025-01-27","cited_by_count":17,"area":"safety"},{"id":"2410.20911","title":"Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks","created":"2024-10-28","cited_by_count":15,"area":"safety"},{"id":"2503.01811","title":"AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses","created":"2025-03-03","cited_by_count":15,"area":null},{"id":"2506.17644","title":"Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges","created":"2025-06-21","cited_by_count":15,"area":null},{"id":"2504.10112","title":"Benchmarking Practices in LLM-driven Offensive Security: Testbeds, Metrics, and Experiment Design","created":"2025-04-14","cited_by_count":14,"area":null},{"id":"2403.15600","title":"Just another copy and paste? Comparing the security vulnerabilities of ChatGPT generated code and StackOverflow answers","created":"2024-03-22","cited_by_count":13,"area":null},{"id":"2503.15552","title":"Personalized Attacks of Social Engineering in Multi-turn Conversations: LLM Agents for Simulation and Detection","created":"2025-03-18","cited_by_count":13,"area":"agents"},{"id":"2404.12689","title":"Can LLMs Understand Computer Networks? Towards a Virtual System Administrator","created":"2024-04-19","cited_by_count":11,"area":null},{"id":"2502.16730","title":"RapidPen: Fully Automated IP-to-Shell Penetration Testing with LLM-based Agents","created":"2025-02-23","cited_by_count":11,"area":"agents"},{"id":"2412.15004","title":"From Vulnerabilities to Remediation: A Systematic Literature Review of LLMs in Code Security","created":"2024-12-19","cited_by_count":10,"area":null},{"id":"2309.16422","title":"Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4","created":"2023-09-28","cited_by_count":9,"area":"agents"},{"id":"2403.08701","title":"Review of Generative AI Methods in Cybersecurity","created":"2024-03-13","cited_by_count":9,"area":"safety"},{"id":"2409.11276","title":"Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments","created":"2024-09-17","cited_by_count":9,"area":"agents"},{"id":"2502.14202","title":"Do LLMs Consider Security? An Empirical Study on Responses to Programming Questions","created":"2025-02-20","cited_by_count":9,"area":null},{"id":"2402.16968","title":"A Survey of Large Language Models in Cybersecurity","created":"2024-02-26","cited_by_count":8,"area":null},{"id":"2407.15748","title":"MoRSE: Bridging the Gap in Cybersecurity Expertise with Retrieval Augmented Generation","created":"2024-07-22","cited_by_count":8,"area":"rag"},{"id":"2505.18384","title":"Dynamic Risk Assessments for Offensive Cybersecurity Agents","created":"2025-05-23","cited_by_count":8,"area":"agents"},{"id":"2511.02780","title":"PoCo: Agentic Proof-of-Concept Exploit Generation for Smart Contracts","created":"2025-11-04","cited_by_count":8,"area":"agents"},{"id":"2408.05061","title":"A Jailbroken GenAI Model Can Cause Substantial Harm: GenAI-powered Applications are Vulnerable to PromptWares","created":"2024-08-09","cited_by_count":7,"area":"safety"},{"id":"2512.14233","title":"PentestEval: Benchmarking LLM-based Penetration Testing with Modular and Stage-Level Design","created":"2025-12-16","cited_by_count":7,"area":null},{"id":"2408.11650","title":"CIPHER: Cybersecurity Intelligent Penetration-testing Helper for Ethical Researcher","created":"2024-08-21","cited_by_count":6,"area":null},{"id":"2509.23571","title":"Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting","created":"2025-09-28","cited_by_count":6,"area":null},{"id":"2409.09493","title":"Hacking, The Lazy Way: LLM Augmented Pentesting","created":"2024-09-14","cited_by_count":5,"area":null},{"id":"2412.18442","title":"SoK: On the Offensive Potential of AI","created":"2024-12-24","cited_by_count":5,"area":null},{"id":"2505.11449","title":"LLMs unlock new paths to monetizing exploits","created":"2025-05-16","cited_by_count":5,"area":null},{"id":"2512.04680","title":"Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap","created":"2025-12-04","cited_by_count":5,"area":null},{"id":"2311.17228","title":"Survey on AI Ethics: A Socio-technical Perspective","created":"2023-11-28","cited_by_count":4,"area":null},{"id":"2604.19533","title":"Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps","created":"2026-04-21","cited_by_count":4,"area":"agents"},{"id":"2605.11671","title":"Cochise: A Reference Harness for Autonomous Penetration Testing","created":"2026-05-12","cited_by_count":3,"area":null},{"id":"2401.17459","title":"A Preliminary Study on Using Large Language Models in Software Pentesting","created":"2024-01-30","cited_by_count":2,"area":null},{"id":"2404.09384","title":"Generative transformations and patterns in LLM-native approaches for software verification and falsification","created":"2024-04-14","cited_by_count":2,"area":null},{"id":"2501.06963","title":"Generative Artificial Intelligence-Supported Pentesting: A Comparison between Claude Opus, GPT-4, and Copilot","created":"2025-01-12","cited_by_count":2,"area":null},{"id":"2505.06394","title":"Towards AI-Driven Human-Machine Co-Teaming for Adaptive and Agile Cyber Security Operation Centers","created":"2025-05-09","cited_by_count":2,"area":null},{"id":"2506.14640","title":"Navigating the growing field of research on AI for software testing -- the taxonomy for AI-augmented software testing and an ontology-driven literature survey","created":"2025-06-17","cited_by_count":2,"area":null},{"id":"2509.25043","title":"Large Language Models for Software Testing: A Research Roadmap","created":"2025-09-29","cited_by_count":2,"area":null},{"id":"2510.12200","title":"HackWorld: Evaluating Computer-Use Agents on Exploiting Web Application Vulnerabilities","created":"2025-10-14","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":"2501.16671","title":"Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI","created":"2025-01-28","cited_by_count":1,"area":null},{"id":"2502.08886","title":"Generative AI for Internet of Things Security: Challenges and Opportunities","created":"2025-02-13","cited_by_count":1,"area":null},{"id":"2502.15506","title":"Construction and Evaluation of LLM-based agents for Semi-Autonomous penetration testing","created":"2025-02-21","cited_by_count":1,"area":"agents"},{"id":"2507.21113","title":"Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing","created":"2025-07-14","cited_by_count":1,"area":"agents"},{"id":"2508.09021","title":"Attacks and Defenses Against LLM Fingerprinting","created":"2025-08-12","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":"2603.17673","title":"Towards Reliable Local Security Agents: Verifiable Post-Training for Linux Privilege Escalation","created":"2026-03-18","cited_by_count":1,"area":"agents"},{"id":"2604.01977","title":"RuleForge: Automated Generation and Validation for Web Vulnerability Detection at Scale","created":"2026-04-02","cited_by_count":1,"area":null},{"id":"2604.27143","title":"Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents","created":"2026-04-29","cited_by_count":1,"area":"agents"},{"id":"2607.20255","title":"The Ethics of Autonomous AI Agents for Offensive Security","created":"2026-07-22","cited_by_count":1,"area":"agents"},{"id":"2608.03009","title":"Tiny Enough to Break In: Agentic Remote Access Trojans Powered by Small Language Models","created":"2026-08-04","cited_by_count":1,"area":"agents"},{"id":"2608.04317","title":"Trident : How to Break Deep Reinforcement Learning Cyber Defenses (Agentic)","created":"2026-08-05","cited_by_count":1,"area":"agents"},{"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":"2506.08693","title":"Recognition Without Mitigation: Ethical Frameworks in Autonomous Offensive-LLM Agent Research","created":"2025-06-10","cited_by_count":0,"area":"agents"},{"id":"2509.07933","title":"Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation","created":"2025-09-09","cited_by_count":0,"area":null},{"id":"2510.12440","title":"Formal Models and Convergence Analysis for Context-Aware Security Verification","created":"2025-10-14","cited_by_count":0,"area":null},{"id":"2601.23092","title":"WiFiPenTester: Advancing Wireless Ethical Hacking with Governed GenAI","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2602.18172","title":"Can AI Lower the Barrier to Cybersecurity? A Human-Centered Mixed-Methods Study of Novice CTF Learning","created":"2026-02-20","cited_by_count":0,"area":"agents"},{"id":"2603.10041","title":"Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents","created":"2026-03-06","cited_by_count":0,"area":"agents"},{"id":"2603.24221","title":"Environment-Grounded Multi-Agent Workflow for Autonomous Penetration Testing","created":"2026-03-25","cited_by_count":0,"area":"agents"},{"id":"2604.00704","title":"AutoEG: Exploiting Known Third-Party Vulnerabilities in Black-Box Web Applications","created":"2026-04-01","cited_by_count":0,"area":null},{"id":"2605.02346","title":"APIOT: Autonomous Vulnerability Management Across Bare-Metal Industrial OT Networks","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2606.19149","title":"OpenAnt: LLM-Powered Vulnerability Discovery Through Code Decomposition, Adversarial Verification, and Dynamic Testing","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2606.24402","title":"Poisoned Playbooks: Demystifying Knowledge Poisoning Effects on AI Security Agents","created":"2026-06-23","cited_by_count":0,"area":"rag"},{"id":"2606.24496","title":"Red-Teaming the Agentic Red-Team","created":"2026-06-23","cited_by_count":0,"area":"agents"},{"id":"2607.27528","title":"ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping","created":"2026-07-29","cited_by_count":0,"area":"agents"},{"id":"2608.14352","title":"ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning","created":"2026-08-14","cited_by_count":0,"area":"agents"},{"id":"2608.15012","title":"SysEvolve: An AI-native, safe, autonomous adversarial attack-defense co-evolutionary system","created":"2026-08-15","cited_by_count":0,"area":null},{"id":"2608.21423","title":"Agentic Security: A Systematization of Tools, Failure Modes, and Design Laws for LLM-Driven Penetration Testing","created":"2026-08-16","cited_by_count":0,"area":"agents"},{"id":"2609.16694","title":"Toward Secure AI-Powered Penetration Testing Agents: Security Threats, Guardrails, and Architectural Perspectives","created":"2026-09-15","cited_by_count":0,"area":"agents"}],"next_cursor":null}