{"total":155,"rows":[{"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":"2305.15060","title":"Who Wrote this Code? Watermarking for Code Generation","created":"2023-05-24","cited_by_count":141,"area":"safety"},{"id":"2403.18624","title":"Vulnerability Detection with Code Language Models: How Far Are We?","created":"2024-03-27","cited_by_count":139,"area":null},{"id":"2308.14840","title":"Identifying and Mitigating the Security Risks of Generative AI","created":"2023-08-28","cited_by_count":91,"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":"2402.09497","title":"Instruction Tuning for Secure Code Generation","created":"2024-02-14","cited_by_count":68,"area":null},{"id":"2405.18137","title":"Exploiting LLM Quantization","created":"2024-05-28","cited_by_count":65,"area":null},{"id":"2406.05498","title":"SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner","created":"2024-06-08","cited_by_count":63,"area":"safety"},{"id":"2501.08200","title":"CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation","created":"2025-01-14","cited_by_count":59,"area":null},{"id":"2502.07049","title":"LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights","created":"2025-02-10","cited_by_count":47,"area":null},{"id":"2604.20779","title":"SWE-chat: Coding Agent Interactions From Real Users in the Wild","created":"2026-04-22","cited_by_count":43,"area":"agents"},{"id":"2403.18746","title":"CYCLE: Learning to Self-Refine the Code Generation","created":"2024-03-27","cited_by_count":42,"area":null},{"id":"2502.11844","title":"BaxBench: Can LLMs Generate Correct and Secure Backends?","created":"2025-02-17","cited_by_count":41,"area":null},{"id":"2405.00218","title":"Constrained Decoding for Secure Code Generation","created":"2024-04-30","cited_by_count":37,"area":null},{"id":"2502.06215","title":"LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks","created":"2025-02-10","cited_by_count":37,"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":"2312.04730","title":"DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions","created":"2023-12-07","cited_by_count":33,"area":null},{"id":"2307.02503","title":"Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review","created":"2023-07-04","cited_by_count":32,"area":null},{"id":"2310.14053","title":"Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain","created":"2023-10-21","cited_by_count":31,"area":"lr"},{"id":"2408.02882","title":"Compromising Embodied Agents with Contextual Backdoor Attacks","created":"2024-08-06","cited_by_count":31,"area":"agents"},{"id":"2407.02395","title":"Toward Secure Code Generation: Bridging Correctness and Security via Task-Adaptive Vulnerability Modeling and Execution-Based Benchmarking","created":"2024-07-02","cited_by_count":27,"area":null},{"id":"2401.15963","title":"NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness","created":"2024-01-29","cited_by_count":26,"area":null},{"id":"2503.21411","title":"Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap","created":"2025-03-27","cited_by_count":26,"area":null},{"id":"2411.12882","title":"ProSec: Fortifying Code LLMs with Proactive Security Alignment","created":"2024-11-19","cited_by_count":25,"area":"alignment"},{"id":"2412.03578","title":"PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback","created":"2024-11-18","cited_by_count":24,"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":"2409.12699","title":"PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs)","created":"2024-09-19","cited_by_count":19,"area":null},{"id":"2410.12468","title":"Evaluating Software Development Agents: Patch Patterns, Code Quality, and Issue Complexity in Real-World GitHub Scenarios","created":"2024-10-16","cited_by_count":18,"area":"agents"},{"id":"2507.19060","title":"PurpCode: Reasoning for Safer Code Generation","created":"2025-07-25","cited_by_count":18,"area":"lr"},{"id":"2509.01835","title":"From CVE Entries to Verifiable Exploits: An Automated Multi-Agent Framework for Reproducing CVEs","created":"2025-09-01","cited_by_count":18,"area":"agents"},{"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":"2409.06446","title":"HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data","created":"2024-09-10","cited_by_count":16,"area":null},{"id":"2502.13141","title":"UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models","created":"2025-02-18","cited_by_count":16,"area":"safety"},{"id":"2504.16429","title":"Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection","created":"2025-04-23","cited_by_count":16,"area":"rag"},{"id":"2307.08220","title":"FRANC: A Lightweight Framework for High-Quality Code Generation","created":"2023-07-17","cited_by_count":14,"area":null},{"id":"2408.02509","title":"Black-Box Adversarial Attacks on LLM-Based Code Completion","created":"2024-08-05","cited_by_count":14,"area":null},{"id":"2504.21205","title":"SecRepoBench: Benchmarking Code Agents for Secure Code Completion in Real-World Repositories","created":"2025-04-29","cited_by_count":14,"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":"2311.13721","title":"Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning","created":"2023-11-22","cited_by_count":12,"area":null},{"id":"2505.22704","title":"Training Language Models to Generate Quality Code with Program Analysis Feedback","created":"2025-05-28","cited_by_count":12,"area":null},{"id":"2507.15241","title":"FaultLine: Automated Proof-of-Vulnerability Generation Using LLM Agents","created":"2025-07-21","cited_by_count":12,"area":"agents"},{"id":"2405.16133","title":"Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting","created":"2024-05-25","cited_by_count":11,"area":null},{"id":"2512.07533","title":"VulnLLM-R: Specialized Reasoning LLM with Agent Scaffold for Vulnerability Detection","created":"2025-12-08","cited_by_count":11,"area":"lr"},{"id":"2402.15727","title":"LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper","created":"2024-02-24","cited_by_count":10,"area":"safety"},{"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":"2503.15554","title":"Rethinking the Evaluation of Secure Code Generation","created":"2025-03-18","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":"2507.22063","title":"RedCoder: Automated Multi-Turn Red Teaming for Code LLMs","created":"2025-06-25","cited_by_count":9,"area":"safety"},{"id":"2510.02609","title":"RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents","created":"2025-10-02","cited_by_count":9,"area":"agents"},{"id":"2407.02518","title":"INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness","created":"2024-06-23","cited_by_count":8,"area":null},{"id":"2507.22659","title":"A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models","created":"2025-07-30","cited_by_count":8,"area":null},{"id":"2509.11523","title":"VulAgent: Hypothesis-Validation based Multi-Agent Vulnerability Detection","created":"2025-09-15","cited_by_count":8,"area":"agents"},{"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":"2503.10784","title":"Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview","created":"2025-03-13","cited_by_count":7,"area":null},{"id":"2510.18204","title":"RESCUE: Retrieval Augmented Secure Code Generation","created":"2025-10-21","cited_by_count":7,"area":"rag"},{"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":"2412.14841","title":"Helping LLMs Improve Code Generation Using Feedback from Testing and Static Analysis","created":"2024-12-19","cited_by_count":6,"area":null},{"id":"2506.11066","title":"CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval","created":"2025-05-31","cited_by_count":6,"area":null},{"id":"2508.03936","title":"ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants","created":"2025-08-05","cited_by_count":6,"area":"safety"},{"id":"2602.07422","title":"Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model","created":"2026-02-07","cited_by_count":6,"area":"alignment"},{"id":"2406.01882","title":"HoneyGPT: Breaking the Trilemma in Terminal Honeypots with Large Language Model","created":"2024-06-04","cited_by_count":5,"area":null},{"id":"2410.11096","title":"SeCodePLT: A Unified Platform for Evaluating the Security of Code GenAI","created":"2024-10-14","cited_by_count":4,"area":null},{"id":"2410.13868","title":"Stars, Stripes, and Silicon: Unravelling the ChatGPT's All-American, Monochrome, Cis-centric Bias","created":"2024-10-02","cited_by_count":4,"area":null},{"id":"2412.12039","title":"Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection","created":"2024-12-16","cited_by_count":4,"area":null},{"id":"2504.15284","title":"EditLord: Learning Code Transformation Rules for Code Editing","created":"2025-03-10","cited_by_count":4,"area":null},{"id":"2506.07313","title":"SCGAgent: Recreating the Benefits of Reasoning Models for Secure Code Generation with Agentic Workflows","created":"2025-06-08","cited_by_count":4,"area":"agents"},{"id":"2507.09508","title":"A Mixture of Linear Corrections Generates Secure Code","created":"2025-07-13","cited_by_count":4,"area":null},{"id":"2510.23674","title":"RefleXGen:The unexamined code is not worth using","created":"2025-10-27","cited_by_count":4,"area":null},{"id":"2601.07084","title":"How Secure is Secure Code Generation? Adversarial Prompts Put LLM Defenses to the Test","created":"2026-01-11","cited_by_count":4,"area":"safety"},{"id":"2602.14012","title":"From SFT to RL: Demystifying the Post-Training Pipeline for LLM-based Vulnerability Detection","created":"2026-02-15","cited_by_count":4,"area":"alignment"},{"id":"2605.30777","title":"What Breaks When LLMs Code? Characterizing Operational Safety Failures of Agentic Code Assistants","created":"2026-05-29","cited_by_count":4,"area":"agents"},{"id":"2312.14480","title":"MetaAID 2.5: A Secure Framework for Developing Metaverse Applications via Large Language Models","created":"2023-12-22","cited_by_count":3,"area":null},{"id":"2403.17787","title":"Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications","created":"2024-03-26","cited_by_count":3,"area":"mllm"},{"id":"2410.06949","title":"Towards Exception Safety Code Generation with Intermediate Representation Agents Framework","created":"2024-10-09","cited_by_count":3,"area":"agents"},{"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":"2503.09334","title":"CyberLLMInstruct: A Pseudo-malicious Dataset Revealing Safety-performance Trade-offs in Cyber Security LLM Fine-tuning","created":"2025-03-12","cited_by_count":3,"area":null},{"id":"2507.16887","title":"Revisiting Pre-trained Language Models for Vulnerability Detection","created":"2025-07-22","cited_by_count":3,"area":null},{"id":"2508.16625","title":"Data and Context Matter: Towards Generalizing AI-based Software Vulnerability Detection","created":"2025-08-14","cited_by_count":3,"area":null},{"id":"2509.07571","title":"Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference","created":"2025-09-09","cited_by_count":3,"area":"agents"},{"id":"2509.14335","title":"Is \"Knowing It's Malicious Enough?\" Evaluating LLMs for Fine-Grained Malware Behavior Auditing","created":"2025-09-17","cited_by_count":3,"area":null},{"id":"2511.11896","title":"VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization","created":"2025-11-14","cited_by_count":3,"area":"lr"},{"id":"2601.02941","title":"SastBench: A Benchmark for Testing Agentic SAST Triage","created":"2026-01-06","cited_by_count":3,"area":"agents"},{"id":"2601.20615","title":"DRAINCODE: Stealthy Energy Consumption Attacks on Retrieval-Augmented Code Generation via Context Poisoning","created":"2026-01-28","cited_by_count":3,"area":"rag"},{"id":"2603.18740","title":"Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review","created":"2026-03-19","cited_by_count":3,"area":null},{"id":"2412.10953","title":"Optimizing AI-Assisted Code Generation","created":"2024-12-14","cited_by_count":2,"area":null},{"id":"2412.11713","title":"Seeker: Towards Exception Safety Code Generation with Intermediate Language Agents Framework","created":"2024-12-16","cited_by_count":2,"area":"agents"},{"id":"2412.17614","title":"Emerging Security Challenges of Large Language Models","created":"2024-12-23","cited_by_count":2,"area":null},{"id":"2504.21043","title":"CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain","created":"2025-04-28","cited_by_count":2,"area":null},{"id":"2505.19397","title":"Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2509.04260","title":"An Empirical Study of Vulnerabilities in Python Packages and Their Detection","created":"2025-09-04","cited_by_count":2,"area":null},{"id":"2509.25729","title":"Controlled Generation for Private Synthetic Text","created":"2025-09-30","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":"2510.08665","title":"RA-Gen: A Controllable Code Generation Framework Using ReAct for Multi-Agent Task Execution","created":"2025-10-09","cited_by_count":2,"area":"agents"},{"id":"2512.19758","title":"Attention Distance: A Novel Metric for Directed Fuzzing with Large Language Models","created":"2025-12-19","cited_by_count":2,"area":null},{"id":"2602.23407","title":"Learning to Generate Secure Code via Token-Level Rewards","created":"2026-02-26","cited_by_count":2,"area":null},{"id":"2604.09089","title":"DeepGuard: Secure Code Generation via Multi-Layer Semantic Aggregation","created":"2026-04-10","cited_by_count":2,"area":null},{"id":"2605.24171","title":"PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection","created":"2026-05-22","cited_by_count":2,"area":null},{"id":"2609.04075","title":"PatchBench: Evaluating AI Agents for Vulnerability Patching","created":"2026-09-03","cited_by_count":2,"area":null},{"id":"2406.16739","title":"Agent-Driven Automatic Software Improvement","created":"2024-06-24","cited_by_count":1,"area":"agents"}],"next_cursor":"100"}