TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations

TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations

16 December 2021

Matthias Niessner

Papers citing "TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations"

6 / 6 papers shown

Title
WaveGuard: Robust Deepfake Detection and Source Tracing via Dual-Tree Complex Wavelet and Graph Neural Networks Ziyuan He Zhiqing Guo Liejun Wang Gaobo Yang Yunfeng Diao Dan Ma 21 0 0 13 May 2025
S $^4$ ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack Yongxiang Liu Bowen Peng Li Liu X. Li 66 0 0 13 Oct 2024
ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification Zuomin Qu Wei Lu Xiangyang Luo Qian Wang Xiaochun Cao AAML PICV 72 1 0 20 Sep 2024
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes Hao Huang Yongtao Wang Zhaoyu Chen Yuze Zhang Yuheng Li Zhi Tang Wei Chu Jingdong Chen Weisi Lin K. Ma AAML 60 90 0 23 May 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,320 0 12 Dec 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016