11 citations · 22 across the 3 of their papers we have counts for
5 papers
Attacking and Defending Machine Learning Applications of Public Cloud
Dou Goodman, Hao Xin
Adversarial attack breaks the boundaries of traditional security defense. For adversarial attack and the characteristics of cloud services, we propose Security Development Lifecycl…
FastWordBug: A Fast Method To Generate Adversarial Text Against NLP Applications
Dou Goodman, Lv Zhonghou, Wang minghua
In this paper, we present a novel algorithm, FastWordBug, to efficiently generate small text perturbations in a black-box setting that forces a sentiment analysis or text classific…
Transferability of Adversarial Examples to Attack Cloud-based Image Classifier Service
Dou Goodman
In recent years, Deep Learning(DL) techniques have been extensively deployed for computer vision tasks, particularly visual classification problems, where new algorithms reported t…
Advbox: a toolbox to generate adversarial examples that fool neural networks
Dou Goodman, Hao Xin, Wang Yang +3
In recent years, neural networks have been extensively deployed for computer vision tasks, particularly visual classification problems, where new algorithms reported to achieve or…
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield
Dou Goodman, Tao Wei
Many recent works demonstrated that Deep Learning models are vulnerable to adversarial examples.Fortunately, generating adversarial examples usually requires white-box access to th…