{"total":61,"rows":[{"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":"2505.14359","title":"Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable","created":"2025-05-20","cited_by_count":60,"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":"2412.07140","title":"FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error","created":"2024-12-10","cited_by_count":47,"area":"diffusion"},{"id":"2502.01720","title":"Generating Multi-Image Synthetic Data for Text-to-Image Customization","created":"2025-02-03","cited_by_count":25,"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":"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":"2503.21210","title":"Toward Generalizable Forgery Detection and Reasoning","created":"2025-03-27","cited_by_count":20,"area":"lr"},{"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":"2501.08763","title":"Few-Shot Learner Generalizes Across AI-Generated Image Detection","created":"2025-01-15","cited_by_count":13,"area":null},{"id":"2510.14978","title":"Learning an Image Editing Model without Image Editing Pairs","created":"2025-10-16","cited_by_count":13,"area":"diffusion"},{"id":"2504.20865","title":"AI-GenBench: A New Ongoing Benchmark for AI-Generated Image Detection","created":"2025-04-29","cited_by_count":10,"area":null},{"id":"2408.11541","title":"Evolution of Detection Performance throughout the Online Lifespan of Synthetic Images","created":"2024-08-21","cited_by_count":8,"area":null},{"id":"2605.14091","title":"Venus-DeFakerOne: Unified Fake Image Detection & Localization","created":"2026-05-13","cited_by_count":8,"area":null},{"id":"2511.13108","title":"DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection","created":"2025-11-17","cited_by_count":5,"area":"diffusion"},{"id":"2605.24906","title":"Where Detectors Fail: Probing Generative Space for Generalizable AI-Generated Image Detection","created":"2026-05-24","cited_by_count":5,"area":null},{"id":"2606.13675","title":"Improving Robotic Generalist Policies via Flow Reversal Steering","created":"2026-06-11","cited_by_count":5,"area":"vla"},{"id":"2502.17105","title":"SFLD: Reducing the content bias for AI-generated Image Detection","created":"2025-02-24","cited_by_count":4,"area":null},{"id":"2502.19716","title":"Fully AI-Generated Image Detection: Definition, Recent Advances and Challenges","created":"2025-02-27","cited_by_count":4,"area":null},{"id":"2506.03988","title":"RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors","created":"2025-06-04","cited_by_count":4,"area":null},{"id":"2506.05466","title":"Towards Reliable Identification of Diffusion-based Image Manipulations","created":"2025-06-05","cited_by_count":4,"area":"diffusion"},{"id":"2603.10598","title":"Layer Consistency Matters: Elegant Latent Transition Discrepancy for Generalizable Synthetic Image Detection","created":"2026-03-11","cited_by_count":4,"area":null},{"id":"2409.14128","title":"Present and Future Generalization of Synthetic Image Detectors","created":"2024-09-21","cited_by_count":3,"area":null},{"id":"2505.11753","title":"X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models","created":"2025-05-16","cited_by_count":3,"area":"diffusion"},{"id":"2511.19126","title":"When Semantics Regulate: Rethinking Patch Shuffle and Internal Bias for Generated Image Detection with CLIP","created":"2025-11-24","cited_by_count":3,"area":"diffusion"},{"id":"2411.11016","title":"Time Step Generating: A Universal Synthesized Deepfake Image Detector","created":"2024-11-17","cited_by_count":2,"area":"diffusion"},{"id":"2506.03425","title":"A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations","created":"2025-06-03","cited_by_count":2,"area":null},{"id":"2508.09487","title":"Semantic-Aware Reconstruction Error for Detecting AI-Generated Images","created":"2025-08-13","cited_by_count":2,"area":null},{"id":"2510.23023","title":"UniAIDet: A Unified and Universal Benchmark for AI-Generated Image Content Detection and Localization","created":"2025-10-27","cited_by_count":2,"area":null},{"id":"2510.27602","title":"Who Made This? Fake Detection and Source Attribution with Diffusion Features","created":"2025-10-31","cited_by_count":2,"area":null},{"id":"2511.21507","title":"Generalized Design Choices for Deepfake Detectors","created":"2025-11-26","cited_by_count":2,"area":null},{"id":"2512.04969","title":"Rethinking the Use of Vision Transformers for AI-Generated Image Detection","created":"2025-12-04","cited_by_count":2,"area":null},{"id":"2512.15182","title":"Robust and Calibrated Detection of Authentic Multimedia Content","created":"2025-12-17","cited_by_count":2,"area":null},{"id":"2602.23732","title":"A Difference-in-Difference Approach to Detecting AI-Generated Images","created":"2026-02-27","cited_by_count":2,"area":"diffusion"},{"id":"2509.10250","title":"GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection","created":"2025-09-12","cited_by_count":1,"area":null},{"id":"2509.13214","title":"End4: End-to-end Denoising Diffusion for Diffusion-Based Inpainting Detection","created":"2025-09-16","cited_by_count":1,"area":"diffusion"},{"id":"2511.20068","title":"PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images","created":"2025-11-25","cited_by_count":1,"area":null},{"id":"2601.02709","title":"GRRE: Leveraging G-Channel Removed Reconstruction Error for Robust Detection of AI-Generated Images","created":"2026-01-06","cited_by_count":1,"area":"diffusion"},{"id":"2601.09117","title":"A Marketplace for AI-Generated Adult Content and Deepfakes","created":"2026-01-14","cited_by_count":1,"area":null},{"id":"2605.14486","title":"Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection","created":"2026-05-14","cited_by_count":1,"area":null},{"id":"2605.26421","title":"HydraPrompt: An Adaptive and Asymmetric Framework of Vision-Language Models for Synthetic Image Detection","created":"2026-05-26","cited_by_count":1,"area":"mllm"},{"id":"2605.31153","title":"BIAS-ID: A Framework for Analyzing Transformation Biases in AI-Generated Image Detectors","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2606.10309","title":"Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection","created":"2026-06-09","cited_by_count":1,"area":null},{"id":"2411.08642","title":"Towards More Accurate Fake Detection on Images Generated from Advanced Generative and Neural Rendering Models","created":"2024-11-13","cited_by_count":0,"area":"diffusion"},{"id":"2502.17862","title":"HRR: Hierarchical Retrospection Refinement for Generated Image Detection","created":"2025-02-25","cited_by_count":0,"area":null},{"id":"2505.23192","title":"Fooling the Watchers: Breaking AIGC Detectors via Semantic Prompt Attacks","created":"2025-05-29","cited_by_count":0,"area":null},{"id":"2509.13149","title":"MSDNet: Efficient 4D Radar Super-Resolution via Multi-Stage Distillation","created":"2025-09-16","cited_by_count":0,"area":"distill"},{"id":"2510.05740","title":"Redefining Generalization in Visual Domains: A Two-Axis Framework for Fake Image Detection with FusionDetect","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2510.26105","title":"Security Risk of Misalignment between Text and Image in Multi-modal Model","created":"2025-10-30","cited_by_count":0,"area":"diffusion"},{"id":"2511.16136","title":"How Noise Benefits AI-generated Image Detection","created":"2025-11-20","cited_by_count":0,"area":null},{"id":"2601.22778","title":"Color Matters: Demosaicing-Guided Color Correlation Training for Generalizable AI-Generated Image Detection","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2603.21619","title":"Efficient Zero-Shot AI-Generated Image Detection","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2603.29356","title":"CIPHER: Counterfeit Image Pattern High-level Examination via Representation","created":"2026-03-31","cited_by_count":0,"area":"diffusion"},{"id":"2604.09106","title":"Detecting Diffusion-generated Images via Dynamic Assembly Forests","created":"2026-04-10","cited_by_count":0,"area":"diffusion"},{"id":"2606.00606","title":"FiSeR: Fine-Grained Source Representations for Cross-Domain AI Image Detection","created":"2026-05-30","cited_by_count":0,"area":null},{"id":"2608.00559","title":"Test-Time Curriculum for Open-Set AIGC Detection","created":"2026-08-01","cited_by_count":0,"area":null},{"id":"2608.07863","title":"LHSDet: High-Resolution AI-Generated Image Detection via Visual Question Answering","created":"2026-08-08","cited_by_count":0,"area":"diffusion"},{"id":"2608.12155","title":"Understanding Why Foundation Models Work for Diffusion-Generated Image Detection","created":"2026-08-12","cited_by_count":0,"area":"diffusion"},{"id":"2608.16646","title":"Training-Free Reconstruction-Based AI-Generated Image Detectors Are Inherently Vulnerable to Adversarial Examples","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2608.18523","title":"Prior-Conditioned Gaussian Discriminants for Generalizable AI-generated Image Detection","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2609.34232","title":"Trustworthy synthetic visual media: Evidence across the media lifecycle","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}