19 citations · 53 across the 8 of their papers we have counts for
5 papers · 2 filters
A Systematical Solution for Face De-identification
Songlin Yang, Wei Wang, Yuehua Cheng +1
With the identity information in face data more closely related to personal credit and property security, people pay increasing attention to the protection of face data privacy. In…
Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective
Lina Wang, Xingshu Chen, Yulong Wang +4
The vulnerability of deep neural networks to adversarial examples, which are crafted maliciously by modifying the inputs with imperceptible perturbations to misled the network prod…
DFGC 2021: A DeepFake Game Competition
Bo Peng, Hongxing Fan, Wei Wang +20
This paper presents a summary of the DFGC 2021 competition. DeepFake technology is developing fast, and realistic face-swaps are increasingly deceiving and hard to detect. At the s…
Transferable Sparse Adversarial Attack
Ziwen He, Wei Wang, Jing Dong +1
Deep neural networks have shown their vulnerability to adversarial attacks. In this paper, we focus on sparse adversarial attack based on the norm constraint, which can su…
Exploring Adversarial Fake Images on Face Manifold
Dongze Li, Wei Wang, Hongxing Fan +1
Images synthesized by powerful generative adversarial network (GAN) based methods have drawn moral and privacy concerns. Although image forensic models have reached great performan…