ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.02516
  4. Cited By
Differential Privacy Over Riemannian Manifolds

Differential Privacy Over Riemannian Manifolds

3 November 2021
M. Reimherr
Karthik Bharath
Carlos Soto
ArXivPDFHTML

Papers citing "Differential Privacy Over Riemannian Manifolds"

14 / 14 papers shown
Title
Conformal-DP: Differential Privacy on Riemannian Manifolds via Conformal Transformation
Conformal-DP: Differential Privacy on Riemannian Manifolds via Conformal Transformation
Peilin He
Liou Tang
M. Amin Rahimian
James Joshi
21
0
0
29 Apr 2025
Differentially Private Geodesic and Linear Regression
Differentially Private Geodesic and Linear Regression
Aditya Kulkarni
Carlos Soto
26
0
0
15 Apr 2025
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
Carlos Soto
M. Reimherr
Aleksandra B. Slavkovic
Mark Shriver
CVBM
21
1
0
10 Sep 2024
Riemannian coordinate descent algorithms on matrix manifolds
Riemannian coordinate descent algorithms on matrix manifolds
Andi Han
Pratik Jawanpuria
Bamdev Mishra
30
3
0
04 Jun 2024
Random matrix theory improved Fréchet mean of symmetric positive
  definite matrices
Random matrix theory improved Fréchet mean of symmetric positive definite matrices
Florent Bouchard
A. Mian
Malik Tiomoko
G. Ginolhac
Frédéric Pascal
32
1
0
10 May 2024
Federated Learning on Riemannian Manifolds with Differential Privacy
Federated Learning on Riemannian Manifolds with Differential Privacy
Zhenwei Huang
Wen Huang
Pratik Jawanpuria
Bamdev Mishra
FedML
32
6
0
15 Apr 2024
Gaussian Differential Privacy on Riemannian Manifolds
Gaussian Differential Privacy on Riemannian Manifolds
Yangdi Jiang
Xiaotian Chang
Yi Liu
Lei Ding
Linglong Kong
Bei Jiang
31
6
0
09 Nov 2023
DPZero: Private Fine-Tuning of Language Models without Backpropagation
DPZero: Private Fine-Tuning of Language Models without Backpropagation
Liang Zhang
Bingcong Li
K. K. Thekumparampil
Sewoong Oh
Niao He
28
11
0
14 Oct 2023
Rieoptax: Riemannian Optimization in JAX
Rieoptax: Riemannian Optimization in JAX
Saiteja Utpala
Andi Han
Pratik Jawanpuria
Bamdev Mishra
16
3
0
10 Oct 2022
Shape And Structure Preserving Differential Privacy
Shape And Structure Preserving Differential Privacy
Carlos Soto
Karthik Bharath
M. Reimherr
Aleksandra B. Slavkovic
16
7
0
21 Sep 2022
Differentially Private Fréchet Mean on the Manifold of Symmetric
  Positive Definite (SPD) Matrices with log-Euclidean Metric
Differentially Private Fréchet Mean on the Manifold of Symmetric Positive Definite (SPD) Matrices with log-Euclidean Metric
Saiteja Utpala
Praneeth Vepakomma
Nina Miolane
14
7
0
08 Aug 2022
Differentially private Riemannian optimization
Differentially private Riemannian optimization
Andi Han
Bamdev Mishra
Pratik Jawanpuria
Junbin Gao
22
10
0
19 May 2022
Formal Privacy for Partially Private Data
Formal Privacy for Partially Private Data
Jeremy Seeman
M. Reimherr
Aleksandra B. Slavkovic
22
3
0
03 Apr 2022
Privately Learning High-Dimensional Distributions
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
62
147
0
01 May 2018
1