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Differentially Private Neural Tangent Kernels for Privacy-Preserving
  Data Generation

Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation

3 March 2023
Yilin Yang
Kamil Adamczewski
Danica J. Sutherland
Xiaoxiao Li
Mijung Park
ArXivPDFHTML

Papers citing "Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation"

5 / 5 papers shown
Title
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis
Chia-Yi Hsu
Jia-You Chen
Yu-Lin Tsai
Chih-Hsun Lin
Pin-Yu Chen
Chia-Mu Yu
Chun-ying Huang
50
0
0
20 Mar 2025
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis
Chen Gong
Kecen Li
Zinan Lin
Tianhao Wang
47
3
0
18 Mar 2025
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
Soyeon Kim
Yuji Roh
Geon Heo
Steven Euijong Whang
31
0
0
03 Oct 2024
DP-TBART: A Transformer-based Autoregressive Model for Differentially
  Private Tabular Data Generation
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation
Rodrigo Castellon
Achintya Gopal
Brian Bloniarz
David S. Rosenberg
4
7
0
19 Jul 2023
A Kernel-Based View of Language Model Fine-Tuning
A Kernel-Based View of Language Model Fine-Tuning
Sadhika Malladi
Alexander Wettig
Dingli Yu
Danqi Chen
Sanjeev Arora
VLM
66
60
0
11 Oct 2022
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