{"total":490,"rows":[{"id":"2406.19435","title":"A Sanity Check for AI-generated Image Detection","created":"2024-06-27","cited_by_count":189,"area":null},{"id":"2312.16649","title":"Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection","created":"2023-12-27","cited_by_count":182,"area":"diffusion"},{"id":"2312.00195","title":"Raising the Bar of AI-generated Image Detection with CLIP","created":"2023-11-30","cited_by_count":164,"area":"mllm"},{"id":"2403.06098","title":"VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models","created":"2024-03-10","cited_by_count":131,"area":"diffusion"},{"id":"2401.17879","title":"AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error","created":"2024-01-31","cited_by_count":125,"area":"diffusion"},{"id":"2304.06408","title":"Intriguing properties of synthetic images: from generative adversarial networks to diffusion models","created":"2023-04-13","cited_by_count":123,"area":"diffusion"},{"id":"2311.12397","title":"PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection","created":"2023-11-21","cited_by_count":122,"area":null},{"id":"2408.09647","title":"C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection","created":"2024-08-19","cited_by_count":113,"area":null},{"id":"2412.04292","title":"SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model","created":"2024-12-05","cited_by_count":108,"area":"mllm"},{"id":"2411.15633","title":"Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection","created":"2024-11-23","cited_by_count":105,"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":"2402.19091","title":"Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection","created":"2024-02-29","cited_by_count":89,"area":null},{"id":"2402.00045","title":"Detecting Multimedia Generated by Large AI Models: A Survey","created":"2024-01-22","cited_by_count":76,"area":"diffusion"},{"id":"2503.14905","title":"Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation","created":"2025-03-19","cited_by_count":68,"area":"mllm"},{"id":"2412.17671","title":"A Bias-Free Training Paradigm for More General AI-generated Image Detection","created":"2024-12-23","cited_by_count":67,"area":"diffusion"},{"id":"2304.13023","title":"Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images","created":"2023-04-25","cited_by_count":66,"area":null},{"id":"2503.15264","title":"LEGION: Learning to Ground and Explain for Synthetic Image Detection","created":"2025-03-19","cited_by_count":65,"area":null},{"id":"2406.08603","title":"FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion","created":"2024-06-12","cited_by_count":61,"area":"diffusion"},{"id":"2406.08772","title":"MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs","created":"2024-06-13","cited_by_count":61,"area":null},{"id":"2505.14359","title":"Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable","created":"2025-05-20","cited_by_count":60,"area":null},{"id":"2403.06592","title":"Exploiting Style Latent Flows for Generalizing Deepfake Video Detection","created":"2024-03-11","cited_by_count":59,"area":null},{"id":"2406.02951","title":"AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection","created":"2024-06-05","cited_by_count":59,"area":null},{"id":"2504.02782","title":"GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation","created":"2025-04-03","cited_by_count":58,"area":null},{"id":"2411.19417","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","created":"2024-11-28","cited_by_count":57,"area":null},{"id":"2310.15150","title":"Online Detection of AI-Generated Images","created":"2023-10-23","cited_by_count":55,"area":null},{"id":"2406.09398","title":"Real-Time Deepfake Detection in the Real-World","created":"2024-06-13","cited_by_count":51,"area":null},{"id":"2505.12335","title":"Is Artificial Intelligence Generated Image Detection a Solved Problem?","created":"2025-05-18","cited_by_count":51,"area":"diffusion"},{"id":"2409.15875","title":"Zero-Shot Detection of AI-Generated Images","created":"2024-09-24","cited_by_count":50,"area":null},{"id":"2411.04125","title":"Community Forensics: Using Thousands of Generators to Train Fake Image Detectors","created":"2024-11-06","cited_by_count":50,"area":null},{"id":"2305.13800","title":"Generalizable Synthetic Image Detection via Language-guided Contrastive Learning","created":"2023-05-23","cited_by_count":49,"area":"diffusion"},{"id":"2404.04584","title":"D$^3$: Scaling Up Deepfake Detection by Learning from Discrepancy","created":"2024-04-06","cited_by_count":45,"area":null},{"id":"2503.02857","title":"Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024","created":"2025-03-04","cited_by_count":45,"area":null},{"id":"2307.02347","title":"Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality","created":"2023-07-05","cited_by_count":44,"area":"diffusion"},{"id":"2402.01123","title":"A Single Simple Patch is All You Need for AI-generated Image Detection","created":"2024-02-02","cited_by_count":44,"area":null},{"id":"2310.05590","title":"Perceptual Artifacts Localization for Image Synthesis Tasks","created":"2023-10-09","cited_by_count":43,"area":null},{"id":"2403.17608","title":"Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets","created":"2024-03-26","cited_by_count":43,"area":null},{"id":"2503.18286","title":"CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI","created":"2025-03-24","cited_by_count":42,"area":null},{"id":"2410.23623","title":"On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection","created":"2024-10-31","cited_by_count":40,"area":"diffusion"},{"id":"2503.20188","title":"Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector","created":"2025-03-26","cited_by_count":40,"area":"mllm"},{"id":"2404.05583","title":"Towards More General Video-based Deepfake Detection through Facial Component Guided Adaptation for Foundation Model","created":"2024-04-08","cited_by_count":38,"area":null},{"id":"2312.08880","title":"GenDet: Towards Good Generalizations for AI-Generated Image Detection","created":"2023-12-12","cited_by_count":36,"area":null},{"id":"2404.13306","title":"FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models","created":"2024-04-20","cited_by_count":36,"area":"mllm"},{"id":"2405.20112","title":"RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection","created":"2024-05-30","cited_by_count":36,"area":null},{"id":"2410.11835","title":"Aligned Datasets Improve Detection of Latent Diffusion-Generated Images","created":"2024-10-15","cited_by_count":36,"area":"diffusion"},{"id":"2507.00583","title":"AI-Generated Video Detection via Perceptual Straightening","created":"2025-07-01","cited_by_count":34,"area":null},{"id":"2508.00701","title":"D3: Training-Free AI-Generated Video Detection Using Second-Order Features","created":"2025-08-01","cited_by_count":34,"area":null},{"id":"2505.12620","title":"BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation","created":"2025-05-19","cited_by_count":33,"area":null},{"id":"2507.02664","title":"AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models","created":"2025-07-03","cited_by_count":33,"area":"mllm"},{"id":"2401.15668","title":"Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes","created":"2024-01-28","cited_by_count":32,"area":null},{"id":"2409.02664","title":"Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection","created":"2024-09-04","cited_by_count":30,"area":"mllm"},{"id":"2507.14632","title":"BusterX++: Towards Unified Cross-Modal AI-Generated Content Detection and Explanation with MLLM","created":"2025-07-19","cited_by_count":29,"area":null},{"id":"2406.00783","title":"AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark","created":"2024-06-02","cited_by_count":28,"area":null},{"id":"2407.20337","title":"Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities","created":"2024-07-29","cited_by_count":27,"area":null},{"id":"2402.02085","title":"Detecting AI-Generated Video via Frame Consistency","created":"2024-02-03","cited_by_count":26,"area":null},{"id":"2504.01396","title":"All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning","created":"2025-04-02","cited_by_count":24,"area":null},{"id":"2509.09172","title":"Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios","created":"2025-09-11","cited_by_count":24,"area":null},{"id":"2401.06506","title":"Frequency Masking for Universal Deepfake Detection","created":"2024-01-12","cited_by_count":23,"area":null},{"id":"2412.00175","title":"Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning","created":"2024-11-29","cited_by_count":23,"area":null},{"id":"2506.16802","title":"Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation","created":"2025-06-20","cited_by_count":23,"area":null},{"id":"2505.11003","title":"ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization","created":"2025-05-16","cited_by_count":22,"area":null},{"id":"2311.17953","title":"Rethinking Image Editing Detection in the Era of Generative AI Revolution","created":"2023-11-29","cited_by_count":21,"area":null},{"id":"2404.04883","title":"Mixture of Low-rank Experts for Transferable AI-Generated Image Detection","created":"2024-04-07","cited_by_count":21,"area":null},{"id":"2407.21422","title":"Revisiting Tampered Scene Text Detection in the Era of Generative AI","created":"2024-07-31","cited_by_count":21,"area":null},{"id":"2408.14080","title":"SONICS: Synthetic Or Not -- Identifying Counterfeit Songs","created":"2024-08-26","cited_by_count":21,"area":null},{"id":"2508.06248","title":"Deepfake Detection that Generalizes Across Benchmarks","created":"2025-08-08","cited_by_count":21,"area":null},{"id":"2312.02253","title":"Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images","created":"2023-12-04","cited_by_count":20,"area":null},{"id":"2403.07240","title":"Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning","created":"2024-03-12","cited_by_count":20,"area":null},{"id":"2404.01959","title":"Bi-LORA: A Vision-Language Approach for Synthetic Image Detection","created":"2024-04-02","cited_by_count":20,"area":"diffusion"},{"id":"2407.11566","title":"TGIF: Text-Guided Inpainting Forgery Dataset","created":"2024-07-16","cited_by_count":20,"area":null},{"id":"2503.21210","title":"Toward Generalizable Forgery Detection and Reasoning","created":"2025-03-27","cited_by_count":20,"area":"lr"},{"id":"2604.11487","title":"NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild","created":"2026-04-13","cited_by_count":18,"area":null},{"id":"2311.01357","title":"Robust Identity Perceptual Watermark Against Deepfake Face Swapping","created":"2023-11-02","cited_by_count":17,"area":"safety"},{"id":"2311.01458","title":"Detecting Deepfakes Without Seeing Any","created":"2023-11-02","cited_by_count":17,"area":null},{"id":"2409.08849","title":"DeCLIP: Decoding CLIP representations for deepfake localization","created":"2024-09-12","cited_by_count":17,"area":null},{"id":"2411.07472","title":"Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors","created":"2024-11-12","cited_by_count":17,"area":"diffusion"},{"id":"2504.11922","title":"Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach","created":"2025-04-16","cited_by_count":17,"area":null},{"id":"2404.16212","title":"An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape","created":"2024-04-24","cited_by_count":16,"area":null},{"id":"2410.23556","title":"Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization","created":"2024-10-31","cited_by_count":16,"area":null},{"id":"2506.00874","title":"Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection","created":"2025-06-01","cited_by_count":16,"area":null},{"id":"2405.00355","title":"Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis","created":"2024-05-01","cited_by_count":15,"area":null},{"id":"2408.13697","title":"ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection","created":"2024-08-25","cited_by_count":15,"area":null},{"id":"2410.09045","title":"MiRAGeNews: Multimodal Realistic AI-Generated News Detection","created":"2024-10-11","cited_by_count":15,"area":null},{"id":"2502.03629","title":"REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations","created":"2025-02-05","cited_by_count":15,"area":null},{"id":"2601.11035","title":"Your One-Stop Solution for AI-Generated Video Detection","created":"2026-01-16","cited_by_count":15,"area":null},{"id":"2404.18552","title":"SIDBench: A Python Framework for Reliably Assessing Synthetic Image Detection Methods","created":"2024-04-29","cited_by_count":14,"area":null},{"id":"2408.09153","title":"Are CLIP features all you need for Universal Synthetic Image Origin Attribution?","created":"2024-08-17","cited_by_count":14,"area":"diffusion"},{"id":"2502.11989","title":"Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images","created":"2025-02-17","cited_by_count":14,"area":"diffusion"},{"id":"2601.22515","title":"DNA: Uncovering Universal Latent Forgery Knowledge","created":"2026-01-30","cited_by_count":14,"area":null},{"id":"2404.17867","title":"Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics","created":"2024-04-27","cited_by_count":13,"area":"safety"},{"id":"2405.00196","title":"Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet","created":"2024-04-30","cited_by_count":13,"area":null},{"id":"2407.10575","title":"A Survey of Defenses Against AI-Generated Visual Media: Detection,Disruption, and Authentication","created":"2024-07-15","cited_by_count":13,"area":null},{"id":"2501.08763","title":"Few-Shot Learner Generalizes Across AI-Generated Image Detection","created":"2025-01-15","cited_by_count":13,"area":null},{"id":"2503.15024","title":"Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models","created":"2025-03-19","cited_by_count":13,"area":"mllm"},{"id":"2402.02003","title":"GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning","created":"2024-02-03","cited_by_count":12,"area":null},{"id":"2407.20836","title":"Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks","created":"2024-07-30","cited_by_count":12,"area":"diffusion"},{"id":"2411.14205","title":"Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body","created":"2024-11-21","cited_by_count":12,"area":null},{"id":"2502.15176","title":"Methods and Trends in Detecting AI-Generated Images: A Comprehensive Review","created":"2025-02-21","cited_by_count":12,"area":"diffusion"},{"id":"2503.06142","title":"VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models","created":"2025-03-08","cited_by_count":12,"area":"mllm"},{"id":"2509.20890","title":"FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies","created":"2025-09-25","cited_by_count":12,"area":null},{"id":"2403.06803","title":"Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection","created":"2024-03-11","cited_by_count":11,"area":null}],"next_cursor":"100"}