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Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in
  Deep Learning with Provable Robustness

Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness

2 June 2019
Nhathai Phan
Minh Nhat Vu
Yang Liu
R. Jin
Dejing Dou
Xintao Wu
My T. Thai
    AAML
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Papers citing "Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness"

3 / 3 papers shown
Title
One Parameter Defense -- Defending against Data Inference Attacks via
  Differential Privacy
One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy
Dayong Ye
Sheng Shen
Tianqing Zhu
B. Liu
Wanlei Zhou
MIACV
14
61
0
13 Mar 2022
More Than Privacy: Applying Differential Privacy in Key Areas of
  Artificial Intelligence
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu
Dayong Ye
Wei Wang
Wanlei Zhou
Philip S. Yu
SyDa
23
125
0
05 Aug 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
275
5,833
0
08 Jul 2016
1