DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues

18 September 2023

Papers citing "DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues"

8 / 8 papers shown

Title
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey Hong-Hanh Nguyen-Le Van-Tuan Tran Dinh-Thuc Nguyen Nhien-An Le-Khac AAML 110 1 0 26 Nov 2024
GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video Detection Chih-Chung Hsu Shao-Ning Chen Mei-Hsuan Wu Yi-Fang Wang Chia-Ming Lee Yi-Shiuan Chou CVBM 36 0 0 28 Jun 2024
Continuous fake media detection: adapting deepfake detectors to new generative techniques Francesco Tassone Luca Maiano Irene Amerini 37 5 0 12 Jun 2024
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection Zhongjie Ba Qingyu Liu Zhenguang Liu Shuang Wu Feng Lin Liwang Lu Kui Ren AAML 38 34 0 04 Mar 2024
FLTracer: Accurate Poisoning Attack Provenance in Federated Learning Xinyu Zhang Qingyu Liu Zhongjie Ba Yuan Hong Tianhang Zheng Feng Lin Liwang Lu Kui Ren AAML 34 10 0 20 Oct 2023
Learning Second Order Local Anomaly for General Face Forgery Detection Jianwei Fei Yunshu Dai Peipeng Yu Tianrun Shen Zhihua Xia Jian Weng CVBM 109 52 0 30 Sep 2022
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 165 360 0 02 Mar 2021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics Yuezun Li Xin Yang Pu Sun H. Qi Siwei Lyu 149 1,046 0 27 Sep 2019