{"total":128,"rows":[{"id":"2310.11986","title":"Sociotechnical Safety Evaluation of Generative AI Systems","created":"2023-10-18","cited_by_count":157,"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":"2408.06741","title":"Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective","created":"2024-08-13","cited_by_count":89,"area":null},{"id":"2303.14126","title":"CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images","created":"2023-03-24","cited_by_count":84,"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":"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":"2409.15875","title":"Zero-Shot Detection of AI-Generated Images","created":"2024-09-24","cited_by_count":50,"area":null},{"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":"2306.00905","title":"T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation","created":"2023-06-01","cited_by_count":39,"area":null},{"id":"2403.18471","title":"DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis","created":"2024-03-27","cited_by_count":30,"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":"2503.15092","title":"Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings","created":"2025-03-19","cited_by_count":27,"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":"2402.03214","title":"Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?","created":"2024-02-05","cited_by_count":21,"area":null},{"id":"2407.11566","title":"TGIF: Text-Guided Inpainting Forgery Dataset","created":"2024-07-16","cited_by_count":20,"area":null},{"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":"2404.02697","title":"Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution","created":"2024-04-03","cited_by_count":16,"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":"2410.09045","title":"MiRAGeNews: Multimodal Realistic AI-Generated News Detection","created":"2024-10-11","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":"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":"2407.19553","title":"Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection","created":"2024-07-28","cited_by_count":11,"area":null},{"id":"2503.21003","title":"Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images","created":"2025-03-26","cited_by_count":11,"area":null},{"id":"2503.24267","title":"FakeScope: Large Multimodal Expert Model for Transparent AI-Generated Image Forensics","created":"2025-03-31","cited_by_count":11,"area":null},{"id":"2312.16220","title":"GenAI Mirage: The Impostor Bias and the Deepfake Detection Challenge in the Era of Artificial Illusions","created":"2023-12-24","cited_by_count":10,"area":null},{"id":"2407.12581","title":"Towards Understanding Unsafe Video Generation","created":"2024-07-17","cited_by_count":10,"area":null},{"id":"2504.15470","title":"Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images","created":"2025-04-21","cited_by_count":10,"area":null},{"id":"2507.10236","title":"Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters?","created":"2025-07-14","cited_by_count":10,"area":null},{"id":"2407.15500","title":"TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping","created":"2024-07-22","cited_by_count":9,"area":null},{"id":"2504.19595","title":"WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution","created":"2025-04-28","cited_by_count":9,"area":null},{"id":"2312.02224","title":"Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network","created":"2023-12-03","cited_by_count":8,"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":"2506.00721","title":"Common Inpainted Objects In-N-Out of Context","created":"2025-05-31","cited_by_count":8,"area":null},{"id":"2603.15026","title":"Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods","created":"2026-03-16","cited_by_count":8,"area":null},{"id":"2602.01738","title":"Simplicity Prevails: The Emergence of Generalizable AIGI Detection in Visual Foundation Models","created":"2026-02-02","cited_by_count":7,"area":null},{"id":"2404.15697","title":"DeepFeatureX Net: Deep Features eXtractors based Network for discriminating synthetic from real images","created":"2024-04-24","cited_by_count":6,"area":null},{"id":"2406.08171","title":"Continuous fake media detection: adapting deepfake detectors to new generative techniques","created":"2024-06-12","cited_by_count":6,"area":null},{"id":"2407.21554","title":"Conditioned Prompt-Optimization for Continual Deepfake Detection","created":"2024-07-31","cited_by_count":6,"area":null},{"id":"2509.25682","title":"Few-Shot Synthetic Image Attribution: Identifying Unseen Generators with Limited Samples","created":"2025-09-30","cited_by_count":6,"area":null},{"id":"2403.07356","title":"Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning","created":"2024-03-12","cited_by_count":5,"area":null},{"id":"2407.14570","title":"Are handcrafted filters helpful for attributing AI-generated images?","created":"2024-07-19","cited_by_count":5,"area":null},{"id":"2412.18442","title":"SoK: On the Offensive Potential of AI","created":"2024-12-24","cited_by_count":5,"area":null},{"id":"2505.15217","title":"Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection","created":"2025-05-21","cited_by_count":5,"area":null},{"id":"2601.04715","title":"On the Holistic Approach for Detecting Human Image Forgery","created":"2026-01-08","cited_by_count":5,"area":null},{"id":"2312.14998","title":"Synthetic images aid the recognition of human-made art forgeries","created":"2023-12-22","cited_by_count":4,"area":null},{"id":"2404.14581","title":"The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking","created":"2024-04-22","cited_by_count":4,"area":null},{"id":"2406.01489","title":"DA-HFNet: Progressive Fine-Grained Forgery Image Detection and Localization Based on Dual Attention","created":"2024-06-03","cited_by_count":4,"area":null},{"id":"2411.17911","title":"Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey","created":"2024-11-26","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":"2507.14326","title":"Rethinking Individual Fairness in Deepfake Detection","created":"2025-07-18","cited_by_count":4,"area":null},{"id":"2507.19924","title":"HumanSAM: Classifying Human-centric Forgery Videos in Human Spatial, Appearance, and Motion Anomaly","created":"2025-07-26","cited_by_count":4,"area":null},{"id":"2508.05691","title":"SPRINT: Robust Model Attribution of Generated Images via Secret Pixel Reconstruction","created":"2025-08-06","cited_by_count":4,"area":null},{"id":"2604.08211","title":"SciFigDetect: A Benchmark for AI-Generated Scientific Figure Detection","created":"2026-04-09","cited_by_count":4,"area":null},{"id":"2311.03782","title":"CapST: Leveraging Capsule Networks and Temporal Attention for Accurate Model Attribution in Deep-fake Videos","created":"2023-11-07","cited_by_count":3,"area":null},{"id":"2403.01489","title":"Regeneration Based Training-free Attribution of Fake Images Generated by Text-to-Image Generative Models","created":"2024-03-03","cited_by_count":3,"area":null},{"id":"2403.16513","title":"Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection","created":"2024-03-25","cited_by_count":3,"area":null},{"id":"2406.09181","title":"A Large-scale Universal Evaluation Benchmark For Face Forgery Detection","created":"2024-06-13","cited_by_count":3,"area":null},{"id":"2411.00949","title":"From Fake Perfects to Conversational Imperfects: Exploring Image-Generative AI as a Boundary Object for Participatory Design of Public Spaces","created":"2024-11-01","cited_by_count":3,"area":null},{"id":"2508.10637","title":"Processing and acquisition traces in visual encoders: What does CLIP know about your camera?","created":"2025-08-14","cited_by_count":3,"area":null},{"id":"2508.21052","title":"FakeParts: a New Family of AI-Generated DeepFakes","created":"2025-08-28","cited_by_count":3,"area":null},{"id":"2510.08978","title":"HandEval: Taking the First Step Towards Hand Quality Evaluation in Generated Images","created":"2025-10-10","cited_by_count":3,"area":null},{"id":"2510.24278","title":"Training-free Source Attribution of AI-generated Images via Resynthesis","created":"2025-10-28","cited_by_count":3,"area":null},{"id":"2603.10583","title":"Attribution as Retrieval: Model-Agnostic AI-Generated Image Attribution","created":"2026-03-11","cited_by_count":3,"area":null},{"id":"2604.17736","title":"IncreFA: Breaking the Static Wall of Generative Model Attribution","created":"2026-04-20","cited_by_count":3,"area":null},{"id":"2412.09715","title":"Human vs. AI: A Novel Benchmark and a Comparative Study on the Detection of Generated Images and the Impact of Prompts","created":"2024-12-12","cited_by_count":2,"area":null},{"id":"2505.18035","title":"CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-Attention","created":"2025-05-23","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":"2510.27602","title":"Who Made This? Fake Detection and Source Attribution with Diffusion Features","created":"2025-10-31","cited_by_count":2,"area":null},{"id":"2511.12834","title":"SAGA: Source Attribution of Generative AI Videos","created":"2025-11-16","cited_by_count":2,"area":null},{"id":"2602.00192","title":"AI-Generated Image Detectors Overrely on Global Artifacts: Evidence from Inpainting Exchange","created":"2026-01-30","cited_by_count":2,"area":null},{"id":"2602.10546","title":"RealHD: A High-Quality Dataset for Robust Detection of State-of-the-Art AI-Generated Images","created":"2026-02-11","cited_by_count":2,"area":null},{"id":"2405.16501","title":"User-Friendly Customized Generation with Multi-Modal Prompts","created":"2024-05-26","cited_by_count":1,"area":null},{"id":"2405.18071","title":"Text Modality Oriented Image Feature Extraction for Detecting Diffusion-based DeepFake","created":"2024-05-28","cited_by_count":1,"area":null},{"id":"2409.15119","title":"Log-normal Mutations and their Use in Detecting Surreptitious Fake Images","created":"2024-09-23","cited_by_count":1,"area":null},{"id":"2411.16754","title":"The Visual Counter Turing Test (VCT2): A Benchmark for Evaluating AI-Generated Image Detection and the Visual AI Index (VAI)","created":"2024-11-24","cited_by_count":1,"area":null},{"id":"2504.03615","title":"Autonomous and Self-Adapting System for Synthetic Media Detection and Attribution","created":"2025-04-04","cited_by_count":1,"area":null},{"id":"2504.04279","title":"Could AI Trace and Explain the Origins of AI-Generated Images and Text?","created":"2025-04-05","cited_by_count":1,"area":null},{"id":"2504.19212","title":"CapsFake: A Multimodal Capsule Network for Detecting Instruction-Guided Deepfakes","created":"2025-04-27","cited_by_count":1,"area":null},{"id":"2505.01008","title":"Where's the liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content","created":"2025-05-02","cited_by_count":1,"area":null},{"id":"2506.02405","title":"Modelship Attribution: Tracing Multi-Stage Manipulations Across Generative Models","created":"2025-06-03","cited_by_count":1,"area":null},{"id":"2507.18633","title":"Identifying Prompted Artist Names from Generated Images","created":"2025-07-24","cited_by_count":1,"area":null},{"id":"2508.01525","title":"MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection","created":"2025-08-03","cited_by_count":1,"area":null},{"id":"2508.03067","title":"Untraceable DeepFakes via Traceable Fingerprint Elimination","created":"2025-08-05","cited_by_count":1,"area":null},{"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":"2509.10766","title":"MetaSeal: Defending Against Image Attribution Forgery Through Content-Dependent Cryptographic Watermarks","created":"2025-09-13","cited_by_count":1,"area":null},{"id":"2509.21864","title":"Deepfakes: we need to re-think the concept of \"real\" images","created":"2025-09-26","cited_by_count":1,"area":null},{"id":"2510.08067","title":"Towards Real-World Deepfake Detection: A Diverse In-the-wild Dataset of Forgery Faces","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2511.16541","title":"Supervised Contrastive Learning for Few-Shot AI-Generated Image Detection and Attribution","created":"2025-11-20","cited_by_count":1,"area":null},{"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":"2601.22663","title":"Unsupervised Synthetic Image Attribution: Alignment and Disentanglement","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2602.12381","title":"Synthetic Image Detection with CLIP: Understanding and Assessing Predictive Cues","created":"2026-02-12","cited_by_count":1,"area":null},{"id":"2604.27590","title":"Fake3DGS: A Benchmark for 3D Manipulation Detection in Neural Rendering","created":"2026-04-30","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":"2607.22745","title":"AI-generated Images Challenge Visual Trust in High-risk Scenarios","created":"2026-07-23","cited_by_count":1,"area":null},{"id":"2501.13475","title":"LDR-Net: A Novel Framework for AI-generated Image Detection via Localized Discrepancy Representation","created":"2025-01-23","cited_by_count":0,"area":null}],"next_cursor":"100"}