{"total":91,"rows":[{"id":"2305.06161","title":"StarCoder: may the source be with you!","created":"2023-05-09","cited_by_count":799,"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":"2310.19736","title":"Evaluating Large Language Models: A Comprehensive Survey","created":"2023-10-30","cited_by_count":202,"area":null},{"id":"2308.00708","title":"VeriGen: A Large Language Model for Verilog Code Generation","created":"2023-07-28","cited_by_count":200,"area":null},{"id":"2302.05319","title":"Large Language Models for Code: Security Hardening and Adversarial Testing","created":"2023-02-10","cited_by_count":155,"area":null},{"id":"2305.15060","title":"Who Wrote this Code? Watermarking for Code Generation","created":"2023-05-24","cited_by_count":141,"area":"safety"},{"id":"2312.04724","title":"Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models","created":"2023-12-07","cited_by_count":138,"area":null},{"id":"2305.11391","title":"A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation","created":"2023-05-19","cited_by_count":93,"area":null},{"id":"2310.00658","title":"The Robots are Here: Navigating the Generative AI Revolution in Computing Education","created":"2023-10-01","cited_by_count":86,"area":null},{"id":"2308.10335","title":"Can ChatGPT replace StackOverflow? A Study on Robustness and Reliability of Large Language Model Code Generation","created":"2023-08-20","cited_by_count":73,"area":null},{"id":"2405.03644","title":"When LLMs Meet Cybersecurity: A Systematic Literature Review","created":"2024-05-06","cited_by_count":71,"area":null},{"id":"2310.17807","title":"Clover: Closed-Loop Verifiable Code Generation","created":"2023-10-26","cited_by_count":67,"area":null},{"id":"2406.07765","title":"Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward","created":"2024-06-11","cited_by_count":45,"area":null},{"id":"2403.12503","title":"Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices","created":"2024-03-19","cited_by_count":37,"area":null},{"id":"2405.00218","title":"Constrained Decoding for Secure Code Generation","created":"2024-04-30","cited_by_count":37,"area":null},{"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":"2409.10737","title":"AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing","created":"2024-09-16","cited_by_count":35,"area":"agents"},{"id":"2307.02192","title":"The FormAI Dataset: Generative AI in Software Security Through the Lens of Formal Verification","created":"2023-07-05","cited_by_count":34,"area":null},{"id":"2402.00891","title":"Large Language Models in Cybersecurity: State-of-the-Art","created":"2024-01-30","cited_by_count":34,"area":null},{"id":"2407.07064","title":"Prompting Techniques for Secure Code Generation: A Systematic Investigation","created":"2024-07-09","cited_by_count":34,"area":null},{"id":"2306.04556","title":"StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code","created":"2023-06-07","cited_by_count":32,"area":null},{"id":"2601.18341","title":"Agentic Much? Adoption of Coding Agents on GitHub","created":"2026-01-26","cited_by_count":32,"area":"agents"},{"id":"2511.04427","title":"Speed at the Cost of Quality: How Cursor AI Increases Short-Term Velocity and Long-Term Complexity in Open-Source Projects","created":"2025-11-06","cited_by_count":24,"area":"agents"},{"id":"2403.17674","title":"Depending on yourself when you should: Mentoring LLM with RL agents to become the master in cybersecurity games","created":"2024-03-26","cited_by_count":20,"area":"agents"},{"id":"2502.01853","title":"Security and Quality in LLM-Generated Code: A Multi-Language, Multi-Model Analysis","created":"2025-02-03","cited_by_count":19,"area":null},{"id":"2511.04824","title":"Agentic Refactoring: An Empirical Study of AI Coding Agents","created":"2025-11-06","cited_by_count":18,"area":"agents"},{"id":"2304.12512","title":"Semantic Compression With Large Language Models","created":"2023-04-25","cited_by_count":17,"area":null},{"id":"2408.03573","title":"AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling","created":"2024-08-07","cited_by_count":17,"area":null},{"id":"2501.12934","title":"Correctness Assessment of Code Generated by Large Language Models Using Internal Representations","created":"2025-01-22","cited_by_count":17,"area":null},{"id":"2509.22040","title":"\"Your AI, My Shell\": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors","created":"2025-09-26","cited_by_count":15,"area":"agents"},{"id":"2508.18106","title":"A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code","created":"2025-08-25","cited_by_count":14,"area":null},{"id":"2402.05650","title":"Rocks Coding, Not Development--A Human-Centric, Experimental Evaluation of LLM-Supported SE Tasks","created":"2024-02-08","cited_by_count":13,"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":"2311.11415","title":"A Security Risk Taxonomy for Prompt-Based Interaction With Large Language Models","created":"2023-11-19","cited_by_count":12,"area":null},{"id":"2404.03823","title":"An Investigation into Misuse of Java Security APIs by Large Language Models","created":"2024-04-04","cited_by_count":11,"area":null},{"id":"2407.08983","title":"Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations","created":"2024-07-12","cited_by_count":11,"area":null},{"id":"2401.07031","title":"Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models","created":"2024-01-13","cited_by_count":10,"area":null},{"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":"2501.07849","title":"The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation","created":"2025-01-14","cited_by_count":10,"area":null},{"id":"2506.00419","title":"Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences","created":"2025-05-31","cited_by_count":10,"area":"alignment"},{"id":"2403.03997","title":"Guiding Enumerative Program Synthesis with Large Language Models","created":"2024-03-06","cited_by_count":9,"area":null},{"id":"2306.12643","title":"FLAG: Finding Line Anomalies (in code) with Generative AI","created":"2023-06-22","cited_by_count":7,"area":null},{"id":"2403.13193","title":"A Study of Vulnerability Repair in JavaScript Programs with Large Language Models","created":"2024-03-19","cited_by_count":7,"area":null},{"id":"2403.12671","title":"Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering","created":"2024-03-19","cited_by_count":6,"area":null},{"id":"2501.07058","title":"Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities","created":"2025-01-13","cited_by_count":5,"area":null},{"id":"2502.05220","title":"Aero-LLM: A Distributed Framework for Secure UAV Communication and Intelligent Decision-Making","created":"2025-02-05","cited_by_count":5,"area":null},{"id":"2503.06195","title":"Human-AI Experience in Integrated Development Environments: A Systematic Literature Review","created":"2025-03-08","cited_by_count":5,"area":null},{"id":"2508.00546","title":"SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval","created":"2025-08-01","cited_by_count":5,"area":null},{"id":"2402.03349","title":"When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges","created":"2024-01-25","cited_by_count":4,"area":null},{"id":"2409.00571","title":"Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs","created":"2024-09-01","cited_by_count":4,"area":null},{"id":"2404.09066","title":"CodeCloak: A Method for Evaluating and Mitigating Code Leakage by LLM Code Assistants","created":"2024-04-13","cited_by_count":3,"area":null},{"id":"2501.18158","title":"Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study","created":"2025-01-30","cited_by_count":3,"area":null},{"id":"2604.09409","title":"Do AI Coding Agents Log Like Humans? An Empirical Study","created":"2026-04-10","cited_by_count":3,"area":"agents"},{"id":"2412.10953","title":"Optimizing AI-Assisted Code Generation","created":"2024-12-14","cited_by_count":2,"area":null},{"id":"2510.07189","title":"Secure-Instruct: An Automated Pipeline for Synthesizing Instruction-Tuning Datasets Using LLMs for Secure Code Generation","created":"2025-10-08","cited_by_count":2,"area":"synth"},{"id":"2605.24300","title":"Enhancing Reliability in LLM-Based Secure Code Generation","created":"2026-05-22","cited_by_count":2,"area":null},{"id":"2309.12732","title":"OpenAi's GPT4 as coding assistant","created":"2023-09-22","cited_by_count":1,"area":null},{"id":"2509.20277","title":"Investigating Security Implications of Automatically Generated Code on the Software Supply Chain","created":"2025-09-24","cited_by_count":1,"area":null},{"id":"2511.18966","title":"LLM-CSEC: Empirical Evaluation of Security in C/C++ Code Generated by Large Language Models","created":"2025-11-24","cited_by_count":1,"area":null},{"id":"2511.20709","title":"DualGauge: Automated Joint Security-Functionality Benchmarking of Specification-Only Code Generation by LLMs and Coding Agents","created":"2025-11-24","cited_by_count":1,"area":"agents"},{"id":"2601.00559","title":"Cracking IoT Security: Can LLMs Outsmart Static Analysis Tools?","created":"2026-01-02","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":"2603.13384","title":"VulnAgent-R2: Evidence-Calibrated Multi-Agent Auditing for Repository-Level Vulnerability Detection","created":"2026-03-11","cited_by_count":1,"area":"agents"},{"id":"2604.05292","title":"Broken by Default: A Formal Verification Study of Security Vulnerabilities in AI-Generated Code","created":"2026-04-07","cited_by_count":1,"area":null},{"id":"2604.16697","title":"Surgical Repair of Insecure Code Generation in LLMs","created":"2026-04-17","cited_by_count":1,"area":null},{"id":"2605.05267","title":"Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2605.24298","title":"An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods","created":"2026-05-22","cited_by_count":1,"area":null},{"id":"2608.01117","title":"SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreaks","created":"2026-08-02","cited_by_count":1,"area":"safety"},{"id":"2404.15681","title":"Automated Creation of Source Code Variants of a Cryptographic Hash Function Implementation Using Generative Pre-Trained Transformer Models","created":"2024-04-24","cited_by_count":0,"area":null},{"id":"2503.13793","title":"Mapping the Trust Terrain: LLMs in Software Engineering -- Insights and Perspectives","created":"2025-03-18","cited_by_count":0,"area":null},{"id":"2506.10984","title":"Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality","created":"2025-02-13","cited_by_count":0,"area":null},{"id":"2509.12649","title":"A Systematic Evaluation of Parameter-Efficient Fine-Tuning Methods for the Security of Code LLMs","created":"2025-09-16","cited_by_count":0,"area":null},{"id":"2604.12994","title":"LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2604.17763","title":"A Quasi-Experimental Developer Study of Security Training in LLM-Assisted Web Application Development","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2605.23091","title":"Security of LLM-generated Code: A Comparative Analysis","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2605.31520","title":"Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Credential Leakage Detection","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.25195","title":"SoK: AI Secure Code Generation: Progress, Pitfalls, and Paths Forward","created":"2026-06-23","cited_by_count":0,"area":"agents"},{"id":"2606.25973","title":"Helpful or Harmful? Evaluating LLM-Assisted Vulnerability Patching via a Human Study","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2606.31159","title":"An Empirical Study of Security Calibration in Large Language Models for Code","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2607.07881","title":"Functional and Secure Code Generation with Task Vectors","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2607.09586","title":"TrustX Agent Risk Classification Framework (ARC): Risk-Tiering Internally Created Agentic AI Systems","created":"2026-07-10","cited_by_count":0,"area":"agents"},{"id":"2607.11348","title":"Understanding the Impact of AI Code Assistants on Security API Usage: An Empirical Study","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2607.14816","title":"Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2607.25225","title":"SecDrift: Measuring Sector-Conditioned Security Drift in AI-Generated Code","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2608.06640","title":"Characterizing the Quality Profile of AI-Generated C++ in Production","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2608.20963","title":"Vibe Coding and Web Application Security: A Twin-Prompt Study","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2608.28021","title":"Compared to What? A Human-Anchored Security Benchmark for LLM-Generated Infrastructure-as-Code","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2609.17598","title":"Not All Agents Are Equal: Code Quality and Post-Merge Maintenance Across Five Autonomous Coding Agents in the Wild","created":"2026-09-12","cited_by_count":0,"area":"agents"},{"id":"2610.03857","title":"Beware EviLLM: Enabling Vulnerability Injection via Large Language Models","created":"2026-10-02","cited_by_count":0,"area":"safety"},{"id":"2610.05139","title":"Hidden in the Comments: A Context-Injection Attack Surface in Code LLMs","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.15482","title":"Security in LLM-Assisted Coding: A Systematic Literature Review","created":"2026-10-11","cited_by_count":0,"area":null}],"next_cursor":null}