LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack

4 July 2023

Papers citing "LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack"

4 / 4 papers shown

Title
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors Long Tang Dengpan Ye Zhenhao Lu Yunming Zhang Shengshan Hu Yue Xu Chuanxi Chen AAML 37 9 0 01 Mar 2023
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 examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,830 0 08 Jul 2016