{"total":14,"rows":[{"id":"2502.18474","title":"A Contemporary Survey of Large Language Model Assisted Program Analysis","created":"2025-02-05","cited_by_count":11,"area":null},{"id":"2510.11688","title":"PACEbench: A Framework for Evaluating Practical AI Cyber-Exploitation Capabilities","created":"2025-10-13","cited_by_count":7,"area":null},{"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":"2509.23571","title":"Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting","created":"2025-09-28","cited_by_count":6,"area":null},{"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":"2605.29963","title":"Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2605.30096","title":"How Reliable Are AI Attackers Against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency","created":"2026-05-28","cited_by_count":1,"area":null},{"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":"2606.10692","title":"Do LLMs Make Neural Distinguishers Wise?","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2607.01764","title":"Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2607.16660","title":"From Adoption to Deployment: A Qualitative Study on AI Integration in Software Development Practice","created":"2026-07-18","cited_by_count":0,"area":null},{"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":"2609.07344","title":"Staying on the Attack Path: Structured State for Long-Horizon Automated Penetration Testing","created":"2026-09-07","cited_by_count":0,"area":null},{"id":"2609.18120","title":"PentestChain: A Cost-Aware, MCP-Orchestrated Framework for Automated Penetration Testing with Free-Tier LLMs","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}