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Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
v1v2 (latest)

Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation

International Conference on Learning Representations (ICLR), 2024
10 September 2024
Carlos Soto
M. Reimherr
Aleksandra B. Slavkovic
Mark Shriver
    CVBM
ArXiv (abs)PDFHTML

Papers citing "Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation"

17 / 17 papers shown
Title
Gaussian Differential Privacy on Riemannian Manifolds
Gaussian Differential Privacy on Riemannian Manifolds
Yangdi Jiang
Xiaotian Chang
Yi Liu
Lei Ding
Linglong Kong
Bei Jiang
248
9
0
09 Nov 2023
Shape And Structure Preserving Differential Privacy
Shape And Structure Preserving Differential PrivacyNeural Information Processing Systems (NeurIPS), 2022
Carlos Soto
Karthik Bharath
M. Reimherr
Aleksandra B. Slavkovic
128
9
0
21 Sep 2022
3D Face Parsing via Surface Parameterization and 2D Semantic
  Segmentation Network
3D Face Parsing via Surface Parameterization and 2D Semantic Segmentation Network
Wenyuan Sun
Ping Zhou
Yangang Wang
Zongpu Yu
Jing Jin
Guangquan Zhou
3DPC3DV3DH
131
1
0
18 Jun 2022
Differentially private Riemannian optimization
Differentially private Riemannian optimizationMachine-mediated learning (ML), 2022
Andi Han
Bamdev Mishra
Pratik Jawanpuria
Junbin Gao
173
11
0
19 May 2022
Differential Privacy Over Riemannian Manifolds
Differential Privacy Over Riemannian ManifoldsNeural Information Processing Systems (NeurIPS), 2021
M. Reimherr
Karthik Bharath
Carlos Soto
173
20
0
03 Nov 2021
DeepBlur: A Simple and Effective Method for Natural Image Obfuscation
DeepBlur: A Simple and Effective Method for Natural Image Obfuscation
Tao Li
Minsoo Choi
PICVAAML
150
20
0
31 Mar 2021
Re-identification of Individuals in Genomic Datasets Using Public Face
  Images
Re-identification of Individuals in Genomic Datasets Using Public Face ImagesScience Advances (Sci Adv), 2021
Rajagopal Venkatesaramani
B. Malin
Yevgeniy Vorobeychik
213
31
0
17 Feb 2021
Parallelizable global conformal parameterization of simply-connected
  surfaces via partial welding
Parallelizable global conformal parameterization of simply-connected surfaces via partial welding
G. Choi
Yusan Leung-Liu
X. Gu
L. Lui
135
44
0
29 Mar 2019
Aggregated Pairwise Classification of Statistical Shapes
Aggregated Pairwise Classification of Statistical Shapes
Min Ho Cho
S. Kurtek
S. MacEachern
104
1
0
22 Jan 2019
Improving the Gaussian Mechanism for Differential Privacy: Analytical
  Calibration and Optimal Denoising
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Borja Balle
Yu Wang
MLT
267
448
0
16 May 2018
Concentrated Differential Privacy: Simplifications, Extensions, and
  Lower Bounds
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
Mark Bun
Thomas Steinke
240
915
0
06 May 2016
A Linear Formulation for Disk Conformal Parameterization of
  Simply-Connected Open Surfaces
A Linear Formulation for Disk Conformal Parameterization of Simply-Connected Open SurfacesAdvances in Computational Mathematics (ACM), 2015
G. Choi
L. Lui
212
47
0
03 Aug 2015
The Bernstein Mechanism: Function Release under Differential Privacy
The Bernstein Mechanism: Function Release under Differential PrivacyAAAI Conference on Artificial Intelligence (AAAI), 2015
Francesco Aldà
Benjamin I. P. Rubinstein
244
54
0
16 Jul 2015
Near-Optimal Algorithms for Differentially-Private Principal Components
Near-Optimal Algorithms for Differentially-Private Principal Components
Kamalika Chaudhuri
Anand D. Sarwate
Kaushik Sinha
360
167
0
12 Jul 2012
Differential Privacy for Functions and Functional Data
Differential Privacy for Functions and Functional DataJournal of machine learning research (JMLR), 2012
Rob Hall
Alessandro Rinaldo
Larry A. Wasserman
174
187
0
12 Mar 2012
Strictly and non-strictly positive definite functions on spheres
Strictly and non-strictly positive definite functions on spheres
T. Gneiting
578
332
0
30 Nov 2011
A statistical framework for differential privacy
A statistical framework for differential privacy
Larry A. Wasserman
Shuheng Zhou
360
514
0
16 Nov 2008
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