{"total":165,"rows":[{"id":"2309.07864","title":"The Rise and Potential of Large Language Model Based Agents: A Survey","created":"2023-09-14","cited_by_count":1439,"area":"agents"},{"id":"2402.04249","title":"HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal","created":"2024-02-06","cited_by_count":1429,"area":"safety"},{"id":"2304.14997","title":"Towards Automated Circuit Discovery for Mechanistic Interpretability","created":"2023-04-28","cited_by_count":724,"area":"mechinterp"},{"id":"2306.15447","title":"Are aligned neural networks adversarially aligned?","created":"2023-06-26","cited_by_count":315,"area":"alignment"},{"id":"2303.15435","title":"The Stable Signature: Rooting Watermarks in Latent Diffusion Models","created":"2023-03-27","cited_by_count":304,"area":"diffusion"},{"id":"2109.13916","title":"Unsolved Problems in ML Safety","created":"2021-09-28","cited_by_count":292,"area":null},{"id":"2307.10169","title":"Challenges and Applications of Large Language Models","created":"2023-07-19","cited_by_count":254,"area":null},{"id":"2305.15324","title":"Model evaluation for extreme risks","created":"2023-05-24","cited_by_count":177,"area":null},{"id":"2103.14659","title":"Alignment of Language Agents","created":"2021-03-26","cited_by_count":168,"area":null},{"id":"2407.19354","title":"The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies","created":"2024-07-28","cited_by_count":131,"area":"agents"},{"id":"2302.02337","title":"Regulating ChatGPT and other Large Generative AI Models","created":"2023-02-05","cited_by_count":104,"area":null},{"id":"2405.06624","title":"Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems","created":"2024-05-10","cited_by_count":96,"area":"wm"},{"id":"2206.09511","title":"The Fallacy of AI Functionality","created":"2022-06-20","cited_by_count":88,"area":null},{"id":"2407.07403","title":"A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends","created":"2024-07-10","cited_by_count":84,"area":"mllm"},{"id":"2308.12833","title":"Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities","created":"2023-08-24","cited_by_count":82,"area":null},{"id":"2208.13753","title":"Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis","created":"2022-08-29","cited_by_count":75,"area":"diffusion"},{"id":"2505.02077","title":"Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents","created":"2025-05-04","cited_by_count":71,"area":"safety"},{"id":"2403.07918","title":"On the Societal Impact of Open Foundation Models","created":"2024-02-27","cited_by_count":65,"area":null},{"id":"2302.04844","title":"The Gradient of Generative AI Release: Methods and Considerations","created":"2023-02-05","cited_by_count":63,"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":"2206.05862","title":"X-Risk Analysis for AI Research","created":"2022-06-13","cited_by_count":60,"area":null},{"id":"2106.07631","title":"Improved Transformer for High-Resolution GANs","created":"2021-06-14","cited_by_count":59,"area":null},{"id":"2412.17686","title":"Large Language Model Safety: A Holistic Survey","created":"2024-12-23","cited_by_count":59,"area":"safety"},{"id":"2211.14946","title":"Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models","created":"2022-11-27","cited_by_count":57,"area":null},{"id":"2209.09476","title":"SparCL: Sparse Continual Learning on the Edge","created":"2022-09-20","cited_by_count":55,"area":null},{"id":"2507.21206","title":"Agentic Web: Weaving the Next Web with AI Agents","created":"2025-07-28","cited_by_count":45,"area":"agents"},{"id":"2202.09381","title":"Synthetic Disinformation Attacks on Automated Fact Verification Systems","created":"2022-02-18","cited_by_count":44,"area":null},{"id":"2106.15764","title":"The Threat of Offensive AI to Organizations","created":"2021-06-30","cited_by_count":38,"area":null},{"id":"2110.08300","title":"The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail","created":"2021-10-15","cited_by_count":38,"area":null},{"id":"2307.16336","title":"Anatomy of an AI-powered malicious social botnet","created":"2023-07-30","cited_by_count":36,"area":null},{"id":"2403.10075","title":"A survey of synthetic data augmentation methods in computer vision","created":"2024-03-15","cited_by_count":34,"area":null},{"id":"2507.00583","title":"AI-Generated Video Detection via Perceptual Straightening","created":"2025-07-01","cited_by_count":34,"area":null},{"id":"2106.05275","title":"Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows","created":"2021-06-09","cited_by_count":31,"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":"2407.14962","title":"Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives","created":"2024-07-20","cited_by_count":30,"area":null},{"id":"2304.00500","title":"Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images","created":"2023-04-02","cited_by_count":29,"area":"diffusion"},{"id":"2204.07172","title":"Diagnosing and Fixing Manifold Overfitting in Deep Generative Models","created":"2022-04-14","cited_by_count":28,"area":null},{"id":"2211.15380","title":"CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds","created":"2022-11-23","cited_by_count":28,"area":null},{"id":"2408.05868","title":"LaWa: Using Latent Space for In-Generation Image Watermarking","created":"2024-08-11","cited_by_count":28,"area":"safety"},{"id":"2102.12466","title":"Information Directed Reward Learning for Reinforcement Learning","created":"2021-02-24","cited_by_count":24,"area":"alignment"},{"id":"2401.07836","title":"Two Types of AI Existential Risk: Decisive and Accumulative","created":"2024-01-15","cited_by_count":22,"area":null},{"id":"2303.11341","title":"What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring","created":"2023-03-20","cited_by_count":21,"area":null},{"id":"2403.04204","title":"On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models","created":"2024-03-07","cited_by_count":21,"area":"alignment"},{"id":"2406.13843","title":"Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data","created":"2024-06-19","cited_by_count":20,"area":null},{"id":"2307.05527","title":"The Ethical Implications of Generative Audio Models: A Systematic Literature Review","created":"2023-07-07","cited_by_count":18,"area":null},{"id":"2303.09377","title":"Protecting Society from AI Misuse: When are Restrictions on Capabilities Warranted?","created":"2023-03-16","cited_by_count":16,"area":null},{"id":"2412.06966","title":"Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research","created":"2024-12-09","cited_by_count":15,"area":"safety"},{"id":"2108.12427","title":"Why and How Governments Should Monitor AI Development","created":"2021-08-28","cited_by_count":14,"area":null},{"id":"2209.10604","title":"Current and Near-Term AI as a Potential Existential Risk Factor","created":"2022-09-21","cited_by_count":14,"area":null},{"id":"2304.06701","title":"Learning Personalized Decision Support Policies","created":"2023-04-13","cited_by_count":14,"area":null},{"id":"2306.00419","title":"Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond","created":"2023-06-01","cited_by_count":14,"area":null},{"id":"2109.04344","title":"EvilModel 2.0: Bringing Neural Network Models into Malware Attacks","created":"2021-09-09","cited_by_count":13,"area":null},{"id":"2211.13960","title":"The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future","created":"2022-11-25","cited_by_count":12,"area":null},{"id":"2410.06645","title":"Continual Learning in the Frequency Domain","created":"2024-10-09","cited_by_count":12,"area":null},{"id":"2110.02891","title":"Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models","created":"2021-10-06","cited_by_count":11,"area":null},{"id":"2406.16746","title":"The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources","created":"2024-06-24","cited_by_count":11,"area":null},{"id":"2104.02107","title":"Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models","created":"2021-04-05","cited_by_count":10,"area":null},{"id":"2207.03444","title":"Fairness and Bias in Robot Learning","created":"2022-07-07","cited_by_count":10,"area":null},{"id":"2505.03439","title":"The Steganographic Potentials of Language Models","created":"2025-05-06","cited_by_count":10,"area":"lr"},{"id":"2506.17709","title":"CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition","created":"2025-06-21","cited_by_count":10,"area":null},{"id":"2508.09853","title":"STREAM (ChemBio): A Standard for Transparently Reporting Evaluations in AI Model Reports","created":"2025-08-13","cited_by_count":10,"area":null},{"id":"2407.08441","title":"Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation","created":"2024-07-11","cited_by_count":9,"area":"safety"},{"id":"2601.06162","title":"Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models","created":"2026-01-06","cited_by_count":9,"area":"diffusion"},{"id":"2102.04881","title":"Measuring Progress in Deep Reinforcement Learning Sample Efficiency","created":"2021-02-09","cited_by_count":8,"area":null},{"id":"2111.13978","title":"Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection","created":"2021-11-27","cited_by_count":8,"area":null},{"id":"2302.10739","title":"MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection","created":"2023-02-21","cited_by_count":8,"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":"2310.06167","title":"Predictable Artificial Intelligence","created":"2023-10-09","cited_by_count":8,"area":null},{"id":"2505.23760","title":"Model Immunization from a Condition Number Perspective","created":"2025-05-29","cited_by_count":8,"area":null},{"id":"2512.05356","title":"AI & Human Co-Improvement for Safer Co-Superintelligence","created":"2025-12-05","cited_by_count":8,"area":null},{"id":"2206.08966","title":"Actionable Guidance for High-Consequence AI Risk Management: Towards Standards Addressing AI Catastrophic Risks","created":"2022-06-17","cited_by_count":7,"area":null},{"id":"2405.09794","title":"Human-AI Safety: A Descendant of Generative AI and Control Systems Safety","created":"2024-05-16","cited_by_count":7,"area":null},{"id":"2504.20084","title":"AI Awareness","created":"2025-04-25","cited_by_count":7,"area":null},{"id":"2303.08956","title":"Exploring the Relevance of Data Privacy-Enhancing Technologies for AI Governance Use Cases","created":"2023-03-15","cited_by_count":6,"area":null},{"id":"2304.11123","title":"China and the U.S. produce more impactful AI research when collaborating together","created":"2023-04-21","cited_by_count":6,"area":null},{"id":"2305.07882","title":"Dual Use Concerns of Generative AI and Large Language Models","created":"2023-05-13","cited_by_count":6,"area":null},{"id":"2411.17461","title":"SoK: Blockchain-Based Decentralized AI (DeAI)","created":"2024-11-26","cited_by_count":6,"area":null},{"id":"2508.10043","title":"Securing Agentic AI: Threat Modeling and Risk Analysis for Network Monitoring Agentic AI System","created":"2025-08-12","cited_by_count":6,"area":"agents"},{"id":"2306.05003","title":"A Rapid Review of Responsible AI frameworks: How to guide the development of ethical AI","created":"2023-06-08","cited_by_count":5,"area":null},{"id":"2409.13714","title":"TracrBench: Generating Interpretability Testbeds with Large Language Models","created":"2024-09-07","cited_by_count":5,"area":null},{"id":"2601.13518","title":"AgenticRed: Evolving Agentic Systems for Red-Teaming","created":"2026-01-20","cited_by_count":5,"area":"agents"},{"id":"2511.15998","title":"Hiding in the AI Traffic: Abusing MCP for LLM-Powered Agentic Red Teaming","created":"2025-11-20","cited_by_count":4,"area":"agents"},{"id":"2601.06163","title":"Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking","created":"2026-01-07","cited_by_count":4,"area":"diffusion"},{"id":"2212.08967","title":"Foundation models in brief: A historical, socio-technical focus","created":"2022-12-17","cited_by_count":3,"area":null},{"id":"2304.09826","title":"Fairness in AI and Its Long-Term Implications on Society","created":"2023-04-16","cited_by_count":3,"area":null},{"id":"2307.15475","title":"FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines","created":"2023-07-28","cited_by_count":3,"area":null},{"id":"2307.16787","title":"The Ethics of AI Value Chains","created":"2023-07-31","cited_by_count":3,"area":null},{"id":"2402.16889","title":"Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation","created":"2024-02-23","cited_by_count":3,"area":"safety"},{"id":"2403.15325","title":"A Technological Perspective on Misuse of Available AI","created":"2024-03-22","cited_by_count":3,"area":null},{"id":"2409.03793","title":"Safeguarding AI Agents: Developing and Analyzing Safety Architectures","created":"2024-09-03","cited_by_count":3,"area":"agents"},{"id":"2411.07845","title":"Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements","created":"2024-11-12","cited_by_count":3,"area":null},{"id":"2501.07396","title":"Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models","created":"2025-01-13","cited_by_count":3,"area":"mllm"},{"id":"2507.08249","title":"Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harm","created":"2025-07-11","cited_by_count":3,"area":null},{"id":"2510.00075","title":"NeurIPS should lead scientific consensus on AI policy","created":"2025-09-30","cited_by_count":3,"area":null},{"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":"2604.19354","title":"Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture the Flag Challenges","created":"2026-04-21","cited_by_count":3,"area":"agents"},{"id":"2604.20300","title":"FSFM: A Biologically-Inspired Framework for Selective Forgetting of Agent Memory","created":"2026-04-22","cited_by_count":3,"area":"agents"},{"id":"2105.06361","title":"Forensic Analysis of Video Files Using Metadata","created":"2021-05-13","cited_by_count":2,"area":null},{"id":"2202.07447","title":"Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design","created":"2022-02-04","cited_by_count":2,"area":null},{"id":"2303.03174","title":"Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safety","created":"2023-03-06","cited_by_count":2,"area":null}],"next_cursor":"100"}