{"total":58,"rows":[{"id":"2207.12819","title":"S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning","created":"2022-07-26","cited_by_count":246,"area":null},{"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":"2104.02617","title":"Are GAN generated images easy to detect? A critical analysis of the state-of-the-art","created":"2021-04-06","cited_by_count":139,"area":null},{"id":"2103.05630","title":"ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis","created":"2021-03-09","cited_by_count":126,"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":"2203.13964","title":"Fusing Global and Local Features for Generalized AI-Synthesized Image Detection","created":"2022-03-26","cited_by_count":88,"area":null},{"id":"2103.00484","title":"Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward","created":"2021-02-25","cited_by_count":82,"area":null},{"id":"2402.17229","title":"Preserving Fairness Generalization in Deepfake Detection","created":"2024-02-27","cited_by_count":70,"area":null},{"id":"2105.04580","title":"Towards Discovery and Attribution of Open-world GAN Generated Images","created":"2021-05-10","cited_by_count":66,"area":null},{"id":"2106.07873","title":"Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images","created":"2021-06-15","cited_by_count":58,"area":null},{"id":"2103.00218","title":"Countering Malicious DeepFakes: Survey, Battleground, and Horizon","created":"2021-02-27","cited_by_count":56,"area":null},{"id":"2409.15875","title":"Zero-Shot Detection of AI-Generated Images","created":"2024-09-24","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":"2109.00162","title":"Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces","created":"2021-09-01","cited_by_count":48,"area":null},{"id":"2205.05467","title":"A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials","created":"2022-05-11","cited_by_count":45,"area":null},{"id":"2107.02408","title":"CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation","created":"2021-07-06","cited_by_count":37,"area":"distill"},{"id":"2202.07145","title":"GAN-generated Faces Detection: A Survey and New Perspectives","created":"2022-02-15","cited_by_count":30,"area":null},{"id":"2311.17601","title":"Continual Learning with Low Rank Adaptation","created":"2023-11-29","cited_by_count":29,"area":null},{"id":"2109.02167","title":"Robust Attentive Deep Neural Network for Exposing GAN-generated Faces","created":"2021-09-05","cited_by_count":28,"area":null},{"id":"2112.12606","title":"Towards Universal GAN Image Detection","created":"2021-12-23","cited_by_count":26,"area":null},{"id":"2211.08615","title":"GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection","created":"2022-11-16","cited_by_count":25,"area":"diffusion"},{"id":"2203.02100","title":"Learning Incrementally to Segment Multiple Organs in a CT Image","created":"2022-03-04","cited_by_count":19,"area":null},{"id":"2402.10401","title":"ManiFPT: Defining and Analyzing Fingerprints of Generative Models","created":"2024-02-16","cited_by_count":18,"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":"2302.14475","title":"Benchmarking Deepart Detection","created":"2023-02-28","cited_by_count":12,"area":null},{"id":"2202.05687","title":"D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles","created":"2022-02-11","cited_by_count":11,"area":null},{"id":"2205.06680","title":"Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces","created":"2022-05-13","cited_by_count":11,"area":null},{"id":"2306.06210","title":"Single-Model Attribution of Generative Models Through Final-Layer Inversion","created":"2023-05-26","cited_by_count":10,"area":null},{"id":"2103.04526","title":"Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets","created":"2021-03-08","cited_by_count":9,"area":null},{"id":"2506.22802","title":"Riemannian-Geometric Fingerprints of Generative Models","created":"2025-06-28","cited_by_count":8,"area":null},{"id":"2109.03398","title":"Master Face Attacks on Face Recognition Systems","created":"2021-09-08","cited_by_count":7,"area":null},{"id":"2403.19653","title":"Detecting Origin Attribution for Text-to-Image Diffusion Models","created":"2024-03-28","cited_by_count":7,"area":"diffusion"},{"id":"2404.08814","title":"E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data","created":"2024-04-12","cited_by_count":7,"area":null},{"id":"2503.18042","title":"DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype","created":"2025-03-23","cited_by_count":7,"area":null},{"id":"2307.05707","title":"MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning","created":"2023-07-11","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":"2302.05936","title":"Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters","created":"2023-02-12","cited_by_count":5,"area":null},{"id":"2306.01364","title":"Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation","created":"2023-06-02","cited_by_count":5,"area":null},{"id":"2110.09428","title":"Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet","created":"2021-10-18","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":"2104.12069","title":"Making Generated Images Hard To Spot: A Transferable Attack On Synthetic Image Detectors","created":"2021-04-25","cited_by_count":3,"area":null},{"id":"2203.01716","title":"Detecting High-Quality GAN-Generated Face Images using Neural Networks","created":"2022-03-03","cited_by_count":3,"area":null},{"id":"2203.05178","title":"An Audio-Visual Attention Based Multimodal Network for Fake Talking Face Videos Detection","created":"2022-03-10","cited_by_count":2,"area":null},{"id":"2212.05667","title":"Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection","created":"2022-12-12","cited_by_count":2,"area":null},{"id":"2512.11771","title":"Smudged Fingerprints: A Systematic Evaluation of the Robustness of AI Image Fingerprints","created":"2025-12-12","cited_by_count":2,"area":null},{"id":"2109.02874","title":"DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning","created":"2021-09-07","cited_by_count":1,"area":null},{"id":"2205.15170","title":"GAN-based Medical Image Small Region Forgery Detection via a Two-Stage Cascade Framework","created":"2022-05-30","cited_by_count":1,"area":null},{"id":"2210.00361","title":"Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection","created":"2022-10-01","cited_by_count":1,"area":null},{"id":"2304.02982","title":"Spritz-PS: Validation of Synthetic Face Images Using a Large Dataset of Printed Documents","created":"2023-04-06","cited_by_count":1,"area":null},{"id":"2307.03990","title":"FTFDNet: Learning to Detect Talking Face Video Manipulation with Tri-Modality Interaction","created":"2023-07-08","cited_by_count":1,"area":null},{"id":"2503.11195","title":"Provenance Detection for AI-Generated Images: Combining Perceptual Hashing, Homomorphic Encryption, and AI Detection Models","created":"2025-03-14","cited_by_count":1,"area":"safety"},{"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":"2504.08149","title":"LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution","created":"2025-04-10","cited_by_count":1,"area":null},{"id":"2511.19886","title":"Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection","created":"2025-11-25","cited_by_count":1,"area":null},{"id":"2409.14289","title":"Deep Learning Technology for Face Forgery Detection: A Survey","created":"2024-09-22","cited_by_count":0,"area":null},{"id":"2506.05377","title":"An Independent Discriminant Network Towards Identification of Counterfeit Images and Videos","created":"2025-05-30","cited_by_count":0,"area":null},{"id":"2509.07993","title":"Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2609.38251","title":"Forensic-Aware Continual Adaptation for Image Forgery Localization","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}