9 citations · 19 across the 4 of their papers we have counts for
4 papers
How and When Adversarial Robustness Transfers in Knowledge Distillation?
Rulin Shao, Jinfeng Yi, Pin-Yu Chen +1
Knowledge distillation (KD) has been widely used in teacher-student training, with applications to model compression in resource-constrained deep learning. Current works mainly foc…
Robust Text CAPTCHAs Using Adversarial Examples
Rulin Shao, Zhouxing Shi, Jinfeng Yi +2
CAPTCHA (Completely Automated Public Truing test to tell Computers and Humans Apart) is a widely used technology to distinguish real users and automated users such as bots. However…
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving
Rulin Shao, Hongyu He, Hui Liu +1
Artificial neural network has achieved unprecedented success in the medical domain. This success depends on the availability of massive and representative datasets. However, data c…
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning
Rulin Shao, Hui Liu, Dianbo Liu
Artificial neural network has achieved unprecedented success in a wide variety of domains such as classifying, predicting and recognizing objects. This success depends on the avail…