{"total":52,"rows":[{"id":"2307.10169","title":"Challenges and Applications of Large Language Models","created":"2023-07-19","cited_by_count":254,"area":null},{"id":"2308.14752","title":"AI Deception: A Survey of Examples, Risks, and Potential Solutions","created":"2023-08-28","cited_by_count":188,"area":null},{"id":"2311.04378","title":"Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models","created":"2023-11-07","cited_by_count":87,"area":"safety"},{"id":"2306.00020","title":"GPT4GEO: How a Language Model Sees the World's Geography","created":"2023-05-30","cited_by_count":68,"area":"wm"},{"id":"2406.10279","title":"We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs","created":"2024-06-12","cited_by_count":65,"area":null},{"id":"2404.12241","title":"Introducing v0.5 of the AI Safety Benchmark from MLCommons","created":"2024-04-18","cited_by_count":62,"area":null},{"id":"2412.17686","title":"Large Language Model Safety: A Holistic Survey","created":"2024-12-23","cited_by_count":59,"area":"safety"},{"id":"2408.01605","title":"CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models","created":"2024-08-02","cited_by_count":58,"area":null},{"id":"2308.01990","title":"From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?","created":"2023-08-03","cited_by_count":55,"area":"safety"},{"id":"2308.01404","title":"Hoodwinked: Deception and Cooperation in a Text-Based Game for Language Models","created":"2023-07-05","cited_by_count":47,"area":null},{"id":"2407.14937","title":"Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)","created":"2024-07-20","cited_by_count":46,"area":"safety"},{"id":"2310.18362","title":"SoK: Memorization in General-Purpose Large Language Models","created":"2023-10-24","cited_by_count":37,"area":null},{"id":"2310.10077","title":"Prompt Packer: Deceiving LLMs through Compositional Instruction with Hidden Attacks","created":"2023-10-16","cited_by_count":35,"area":"safety"},{"id":"2306.10095","title":"AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology","created":"2023-06-16","cited_by_count":34,"area":null},{"id":"2311.09227","title":"Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives","created":"2023-09-29","cited_by_count":31,"area":null},{"id":"2402.15302","title":"How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries","created":"2024-02-23","cited_by_count":27,"area":"safety"},{"id":"2402.07862","title":"AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy","created":"2024-02-12","cited_by_count":21,"area":null},{"id":"2312.03720","title":"Negotiating with LLMS: Prompt Hacks, Skill Gaps, and Reasoning Deficits","created":"2023-11-26","cited_by_count":16,"area":"lr"},{"id":"2411.13874","title":"Next-Generation Phishing: How LLM Agents Empower Cyber Attackers","created":"2024-11-21","cited_by_count":14,"area":null},{"id":"2401.09727","title":"Lateral Phishing With Large Language Models: A Large Organization Comparative Study","created":"2024-01-18","cited_by_count":12,"area":null},{"id":"2310.19626","title":"Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities","created":"2023-10-30","cited_by_count":9,"area":null},{"id":"2404.16894","title":"On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case","created":"2024-04-25","cited_by_count":9,"area":null},{"id":"2308.15514","title":"International Governance of Civilian AI: A Jurisdictional Certification Approach","created":"2023-08-29","cited_by_count":8,"area":null},{"id":"2310.07726","title":"Warfare:Breaking the Watermark Protection of AI-Generated Content","created":"2023-09-27","cited_by_count":8,"area":"safety"},{"id":"2405.03654","title":"Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent","created":"2024-05-06","cited_by_count":8,"area":"safety"},{"id":"2605.10977","title":"PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks","created":"2026-05-09","cited_by_count":7,"area":"safety"},{"id":"2502.00657","title":"LLM Safety Alignment is Divergence Estimation in Disguise","created":"2025-02-02","cited_by_count":6,"area":"alignment"},{"id":"2409.06729","title":"How will advanced AI systems impact democracy?","created":"2024-08-27","cited_by_count":5,"area":null},{"id":"2510.05148","title":"Every Step Counts: Decoding Trajectories as Authorship Fingerprints of dLLMs","created":"2025-10-02","cited_by_count":4,"area":"diffusion"},{"id":"2604.03121","title":"An Independent Safety Evaluation of Kimi K2.5","created":"2026-04-03","cited_by_count":3,"area":"agents"},{"id":"2604.09544","title":"Large Language Models Generate Harmful Responses Using a Distinct Mechanism, Shared Across Harm Types","created":"2026-04-10","cited_by_count":3,"area":"safety"},{"id":"2506.12094","title":"Military AI Cyber Agents (MAICAs) Constitute a Global Threat to Critical Infrastructure","created":"2025-06-12","cited_by_count":2,"area":null},{"id":"2507.08020","title":"Circumventing Safety Alignment in Large Language Models Through Embedding Space Toxicity Attenuation","created":"2025-07-08","cited_by_count":2,"area":"alignment"},{"id":"2602.19844","title":"LLM-enabled Applications Require System-Level Threat Monitoring","created":"2026-02-23","cited_by_count":2,"area":null},{"id":"2410.18312","title":"Countering Autonomous Cyber Threats","created":"2024-10-23","cited_by_count":1,"area":null},{"id":"2502.05951","title":"Cyri: A Conversational AI-based Assistant for Supporting the Human User in Detecting and Responding to Phishing Attacks","created":"2025-02-09","cited_by_count":1,"area":null},{"id":"2503.19887","title":"AI threats to national security can be countered through an incident regime","created":"2025-03-25","cited_by_count":1,"area":null},{"id":"2506.13746","title":"Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability","created":"2025-06-16","cited_by_count":1,"area":"lr"},{"id":"2510.19844","title":"CourtGuard: A Local, Multiagent Prompt Injection Classifier","created":"2025-10-20","cited_by_count":1,"area":"safety"},{"id":"2605.18239","title":"Multilingual jailbreaking of LLMs using low-resource languages","created":"2026-05-18","cited_by_count":1,"area":"safety"},{"id":"2406.03079","title":"Cryptocurrency Frauds for Dummies: How ChatGPT introduces us to fraud?","created":"2024-06-05","cited_by_count":0,"area":null},{"id":"2408.02313","title":"A Lean Transformer Model for Dynamic Malware Analysis and Detection","created":"2024-08-05","cited_by_count":0,"area":null},{"id":"2503.19626","title":"Red Teaming with Artificial Intelligence-Driven Cyberattacks: A Scoping Review","created":"2025-03-25","cited_by_count":0,"area":null},{"id":"2505.23803","title":"MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection","created":"2025-05-26","cited_by_count":0,"area":"agents"},{"id":"2509.20589","title":"Every Character Counts: From Vulnerability to Defense in Phishing Detection","created":"2025-09-24","cited_by_count":0,"area":null},{"id":"2602.13363","title":"Assessing Spear-Phishing Website Generation in Large Language Model Coding Agents","created":"2026-02-13","cited_by_count":0,"area":"agents"},{"id":"2604.10893","title":"Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language Models","created":"2026-04-13","cited_by_count":0,"area":"safety"},{"id":"2605.16436","title":"The End of Trust: How Agentic AI Breaks Security Assumptions","created":"2026-05-14","cited_by_count":0,"area":"agents"},{"id":"2605.16471","title":"From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI","created":"2026-05-15","cited_by_count":0,"area":"agents"},{"id":"2607.05407","title":"Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2607.25368","title":"AI Deployment and Cyber Governance Failures in Public-Sector Organizations: A Typological Analysis","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2609.08634","title":"Suan: Rectifying Direct Preference Safety Alignment in Large Language Models","created":"2026-09-08","cited_by_count":0,"area":"alignment"}],"next_cursor":null}