411 citations · 1.6k across the 30 of their papers we have counts for
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cs.CR2019
Not Just Cloud Privacy: Protecting Client Privacy in Teacher-Student Learning
Lichao Sun, Ji Wang, Philip S. Yu +1
Ensuring the privacy of sensitive data used to train modern machine learning models is of paramount importance in many areas of practice. One recent popular approach to study these…
cs.CR2019★ 1 cited
Private Deep Learning with Teacher Ensembles
Lichao Sun, Yingbo Zhou, Ji Wang +4
Privacy-preserving deep learning is crucial for deploying deep neural network based solutions, especially when the model works on data that contains sensitive information. Most pri…
cs.SI2019
Influence Maximization with Spontaneous User Adoption
Lichao Sun, Albert Chen, Philip S. Yu +1
We incorporate self activation into influence propagation and propose the self-activation independent cascade (SAIC) model: nodes may be self activated besides being selected as se…