DFAD23
* *DeepFake Analysis and Detection
* Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning
* Comprehensive Framework for Evaluating Deepfake Generators: Dataset, Metrics Performance, and Comparative Analysis, A
* Deepfakes Signatures Detection in the Handcrafted Features Space
* Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality
* FIVA: Facial Image and Video Anonymization and Anonymization Defense
* Interpretable-through-prototypes deepfake detection for diffusion models
* Learning Interpretable Forensic Representations via Local Window Modulation
* Online Detection of AI-Generated Images
* Revisiting Generalizability in Deepfake Detection: Improving Metrics and Stabilizing Transfer
* TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization
* Undercover Deepfakes: Detecting Fake Segments in Videos
* WaterLo: Protect Images from Deepfakes Using Localized Semi-Fragile Watermark
13 for DFAD23