2 citations · 5 across the 4 of their papers we have counts for
4 papers
Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis
Ruinan Jin, Xiaoxiao Li
Deep Learning-based image synthesis techniques have been applied in healthcare research for generating medical images to support open research and augment medical datasets. Trainin…
Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis
Ruinan Jin, Xiaoxiao Li
Deep Learning-based image synthesis techniques have been applied in healthcare research for generating medical images to support open research. Training generative adversarial neur…
On the Convergence of mSGD and AdaGrad for Stochastic Optimization
Ruinan Jin, Yu Xing, Xingkang He
As one of the most fundamental stochastic optimization algorithms, stochastic gradient descent (SGD) has been intensively developed and extensively applied in machine learning in t…
PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition
Chao Cai, Ruinan Jin, Peng Wang +3
Recently, \textit{passive behavioral biometrics} (e.g., gesture or footstep) have become promising complements to conventional user identification methods (e.g., face or fingerprin…