44 citations · 168 across the 17 of their papers we have counts for
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cs.DB2019★ 1 cited
Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage!
Ruoming Jin, Zhen Peng, Wendell Wu +3
In this paper, we study how the Pruned Landmark Labeling (PPL) algorithm can be parallelized in a scalable fashion, producing the same results as the sequential algorithm. More spe…
cs.CR2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
NhatHai Phan, Minh Vu, Yang Liu +4
In this paper, we propose a novel Heterogeneous Gaussian Mechanism (HGM) to preserve differential privacy in deep neural networks, with provable robustness against adversarial exam…
cs.CR2019★ 24 cited
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
NhatHai Phan, My T. Thai, Han Hu +3
In this paper, we aim to develop a scalable algorithm to preserve differential privacy (DP) in adversarial learning for deep neural networks (DNNs), with certified robustness to ad…