81 citations · 84 across the 3 of their papers we have counts for
3 papers
cs.CR2021★ 1 cited
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks
Qiao Zhang, Chunsheng Xin, Hongyi Wu
Machine Learning as a Service (MLaaS) is enabling a wide range of smart applications on end devices. However, privacy-preserved computation is still expensive. Our investigation ha…
cs.LG2019★ 2 cited
CHEETAH: An Ultra-Fast, Approximation-Free, and Privacy-Preserved Neural Network Framework based on Joint Obscure Linear and Nonlinear Computations
Qiao Zhang, Cong Wang, Chunsheng Xin +1
Machine Learning as a Service (MLaaS) is enabling a wide range of smart applications on end devices. However, such convenience comes with a cost of privacy because users have to up…
cs.GT2017★ 81 cited
Crowdsourcing with Tullock contests: A new perspective
T. Luo, S. S. Kanhere, H-P. Tan +2
Incentive mechanisms for crowdsourcing have been extensively studied under the framework of all-pay auctions. Along a distinct line, this paper proposes to use Tullock contests as…