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3D Shape Reconstruction from Videos
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ExDDV: A New Dataset for Explainable Deepfake Detection in Video
Deepfake Detection with Optimized Hybrid Model: EAR Biometric Descriptor via Improved RCNN
Deepfake Detection of Face Images based on a Convolutional Neural Network
VoD: Learning Volume of Differences for Video-Based Deepfake Detection
VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models
Reduced Spatial Dependency for More General Video-level Deepfake Detection
Deepfake Detection via Knowledge Injection
Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024
DeePen: Penetration Testing for Audio Deepfake Detection
Methods and Trends in Detecting Generated Images: A Comprehensive Review
Lightweight Deepfake Detection Based on Multi-Feature Fusion
CAE-Net: Generalized Deepfake Image Detection using Convolution and Attention Mechanisms with Spatial and Frequency Domain Features
Generalizable speech deepfake detection via meta-learned LoRA
Do Deepfake Detectors Work in Reality?
A Preliminary Exploration with GPT-4o Voice Mode
Exploring Active Data Selection Strategies for Continuous Training in Deepfake Detection
ShiftySpeech: A Large-Scale Synthetic Speech Dataset with Distribution Shifts
Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated Samples
Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection
REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations
Deepfake Detection of Singing Voices With Whisper Encodings
DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection
Extending Information Bottleneck Attribution to Video Sequences
Classifying Deepfakes Using Swin Transformers
Generalizable Deepfake Detection via Effective Local-Global Feature Extraction
Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation
GC-ConsFlow: Leveraging Optical Flow Residuals and Global Context for Robust Deepfake Detection
What Does an Audio Deepfake Detector Focus on? A Study in the Time Domain
Audio-Visual Deepfake Detection With Local Temporal Inconsistencies
Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing
Towards Interactive Deepfake Analysis
Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection
Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.