Imagen de Portada

Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ke, Zong, Zhou, Shicheng, Zhou, Yining, Chang, Chia Hong, Zhang, Rong
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Cryptography and Security Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
por: Zhou, Yuxuan, et al.
Publicado: (2025)

DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection
por: Aboutalebi, Hossein, et al.
Publicado: (2023)

A Quality-Centric Framework for Generic Deepfake Detection
por: Song, Wentang, et al.
Publicado: (2024)

Reduced Spatial Dependency for More General Video-level Deepfake Detection
por: Chu, Beilin, et al.
Publicado: (2025)

Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation
por: Liu, Chi, et al.
Publicado: (2023)

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
por: Pinhasov, Ben, et al.
Publicado: (2024)

An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
por: Abdullah, Sifat Muhammad, et al.
Publicado: (2024)

Naïve Exposure of Generative AI Capabilities Undermines Deepfake Detection
por: Kim, Sunpill, et al.
Publicado: (2026)

ForensicFlow: A Tri-Modal Adaptive Network for Robust Deepfake Detection
por: Romani, Mohammad
Publicado: (2025)

Nearly Solved? Robust Deepfake Detection Requires More than Visual Forensics
por: Levy, Guy, et al.
Publicado: (2024)

DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection
por: Lim, Yewon, et al.
Publicado: (2024)

Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
por: Nguyen-Le, Hong-Hanh, et al.
Publicado: (2024)

DeiTFake: Deepfake Detection Model using DeiT Multi-Stage Training
por: Kumar, Saksham, et al.
Publicado: (2025)

FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence
por: Yan, Xinyu, et al.
Publicado: (2026)

DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection
por: Zhao, Kangran, et al.
Publicado: (2025)

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization
por: Qiu, Yixiang, et al.
Publicado: (2025)

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework
por: Le, Binh M., et al.
Publicado: (2024)

PhishSnap: Image-Based Phishing Detection Using Perceptual Hashing
por: Minhaz, Md Abdul Ahad, et al.
Publicado: (2025)

PATE-TripleGAN: Privacy-Preserving Image Synthesis with Gaussian Differential Privacy
por: Jiang, Zepeng, et al.
Publicado: (2024)

Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces
por: Hu, Juan, et al.
Publicado: (2024)

AI-generated Image Detection: Passive or Watermark?
por: Guo, Moyang, et al.
Publicado: (2024)

1-D CNN-Based Online Signature Verification with Federated Learning
por: Zhang, Lingfeng, et al.
Publicado: (2024)

Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detection
por: Cui, Xinjie, et al.
Publicado: (2024)

Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink
por: Wang, Yining, et al.
Publicado: (2025)

Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising
por: Hong, Sanghyun, et al.
Publicado: (2024)

Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness
por: Deng, Jieren, et al.
Publicado: (2024)

Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
por: Yilmaz, Eda, et al.
Publicado: (2024)

Combating Digitally Altered Images: Deepfake Detection
por: Kumar, Saksham, et al.
Publicado: (2025)

How Generalizable are Deepfake Image Detectors? An Empirical Study
por: Li, Boquan, et al.
Publicado: (2023)

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
por: Wang, Hui-Po, et al.
Publicado: (2020)

Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network Operations
por: Rahman, Mushfiqur, et al.
Publicado: (2023)

2D-Malafide: Adversarial Attacks Against Face Deepfake Detection Systems
por: Galdi, Chiara, et al.
Publicado: (2024)

Digital Video Manipulation Detection Technique Based on Compression Algorithms
por: Fernandez, Edgar Gonzalez, et al.
Publicado: (2024)

Generative AI-Based Effective Malware Detection for Embedded Computing Systems
por: Kasarapu, Sreenitha, et al.
Publicado: (2024)

Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
por: Yuan, Shuaiwei, et al.
Publicado: (2025)

Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization
por: He, Yuhao, et al.
Publicado: (2024)

Copyright Protection in Generative AI: A Technical Perspective
por: Ren, Jie, et al.
Publicado: (2024)

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach
por: Lan, Shulin, et al.
Publicado: (2024)

Enhancing Adversarial Example Detection Through Model Explanation
por: Ma, Qian, et al.
Publicado: (2025)

RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
por: Xian, Xun, et al.
Publicado: (2024)