activity
20192022
most citedBlack-Box Adversarial Attack with Transferable Model-based Embedding

50 citations · 56 across the 4 of their papers we have counts for

collaborators

5 papers

math.ST2022

Asymptotic Statistical Analysis of -divergence GAN

Xinwei Shen, Kani Chen, Tong Zhang

Generative Adversarial Networks (GANs) have achieved great success in data generation. However, its statistical properties are not fully understood. In this paper, we consider the…

cs.CV2021

Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling

Zhichao Huang, Xintong Han, Jia Xu +1

We present a new method for few-shot human motion transfer that achieves realistic human image generation with only a small number of appearance inputs. Despite recent advances in…

cs.LG20206 cited

CorrAttack: Black-box Adversarial Attack with Structured Search

Zhichao Huang, Yaowei Huang, Tong Zhang

We present a new method for score-based adversarial attack, where the attacker queries the loss-oracle of the target model. Our method employs a parameterized search space with a s…

cs.LG201950 cited

Black-Box Adversarial Attack with Transferable Model-based Embedding

Zhichao Huang, Tong Zhang

We present a new method for black-box adversarial attack. Unlike previous methods that combined transfer-based and scored-based methods by using the gradient or initialization of a…

cs.LG2019

NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks

Yandong Li, Lijun Li, Liqiang Wang +2

Powerful adversarial attack methods are vital for understanding how to construct robust deep neural networks (DNNs) and for thoroughly testing defense techniques. In this paper, we…