2 citations · 5 across the 3 of their papers we have counts for
9 papers
A Small Leak Will Sink Many Ships: Vulnerabilities Related to Mini Programs Permissions
Jianyi Zhang, Leixin Yang, Yuyang Han +2
As a new format of mobile application, mini programs, which function within a larger app and are built with HTML, CSS, and JavaScript web technology, have become the way to do almo…
GAN-based Medical Image Small Region Forgery Detection via a Two-Stage Cascade Framework
Jianyi Zhang, Xuanxi Huang, Yaqi Liu +2
Using generative adversarial network (GAN)\cite{RN90} for data enhancement of medical images is significantly helpful for many computer-aided diagnosis (CAD) tasks. A new attack ca…
Towards Fair Federated Learning with Zero-Shot Data Augmentation
Weituo Hao, Mostafa El-Khamy, Jungwon Lee +4
Federated learning has emerged as an important distributed learning paradigm, where a server aggregates a global model from many client-trained models while having no access to the…
Safe Distributional Reinforcement Learning
Jianyi Zhang, Paul Weng
Safety in reinforcement learning (RL) is a key property in both training and execution in many domains such as autonomous driving or finance. In this paper, we formalize it with a…
FLOP: Federated Learning on Medical Datasets using Partial Networks
Qian Yang, Jianyi Zhang, Weituo Hao +2
The outbreak of COVID-19 Disease due to the novel coronavirus has caused a shortage of medical resources. To aid and accelerate the diagnosis process, automatic diagnosis of COVID-…
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
Ruqi Zhang, Chunyuan Li, Jianyi Zhang +2
The posteriors over neural network weights are high dimensional and multimodal. Each mode typically characterizes a meaningfully different representation of the data. We develop Cy…