6 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 6 cited
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…
cs.CV2020★ 2 cited
Temporal Sparse Adversarial Attack on Sequence-based Gait Recognition
Ziwen He, Wei Wang, Jing Dong +1
Gait recognition is widely used in social security applications due to its advantages in long-distance human identification. Recently, sequence-based methods have achieved high acc…
cs.CR2019★ 2 cited
A New Ensemble Method for Concessively Targeted Multi-model Attack
Ziwen He, Wei Wang, Xinsheng Xuan +2
It is well known that deep learning models are vulnerable to adversarial examples crafted by maliciously adding perturbations to original inputs. There are two types of attacks: ta…