Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors

1 March 2023

Papers citing "Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors"

5 / 5 papers shown

Title
ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification Zuomin Qu Wei Lu Xiangyang Luo Qian Wang Xiaochun Cao AAML PICV 69 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 53 87 0 23 May 2021
Exploring Adversarial Fake Images on Face Manifold Dongze Li Wei Wang Hongxing Fan Jing Dong AAML 33 35 0 09 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 247 5,813 0 08 Jul 2016