Diff-ID: An Explainable Identity Difference Quantification Framework for
DeepFake Detection

Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection

30 March 2023

Xuhong Zhang

Papers citing "Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection"

6 / 6 papers shown

Title
Exploring Decision-based Black-box Attacks on Face Forgery Detection Zhaoyu Chen Bo-wen Li Kaixun Jiang Shuang Wu Shouhong Ding Wenqiang Zhang AAML CVBM 24 1 0 18 Oct 2023
Finding Facial Forgery Artifacts with Parts-Based Detectors S. Schwarcz Rama Chellappa CVBM 72 22 0 21 Sep 2021
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain Honggu Liu Xiaodan Li Wenbo Zhou YueFeng Chen Yuan He Hui Xue Weiming Zhang Nenghai Yu CVBM 157 357 0 02 Mar 2021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics Yuezun Li Xin Yang Pu Sun H. Qi Siwei Lyu 135 1,037 0 27 Sep 2019
VoxCeleb2: Deep Speaker Recognition Joon Son Chung Arsha Nagrani Andrew Zisserman 214 2,224 0 14 Jun 2018
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 201 14,304 0 07 Oct 2016