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. 2306.05651
  4. Cited By
Differentially Private Sharpness-Aware Training

Differentially Private Sharpness-Aware Training

9 June 2023
Jinseong Park
Hoki Kim
Yujin Choi
Jaewook Lee
ArXivPDFHTML

Papers citing "Differentially Private Sharpness-Aware Training"

10 / 10 papers shown
Title
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
Xinwei Zhang
Zhiqi Bu
Borja Balle
Mingyi Hong
Meisam Razaviyayn
Vahab Mirrokni
76
2
0
04 Oct 2024
Delving into Differentially Private Transformer
Delving into Differentially Private Transformer
Youlong Ding
Xueyang Wu
Yining Meng
Yonggang Luo
Hao Wang
Weike Pan
36
5
0
28 May 2024
Scalable and Efficient Training of Large Convolutional Neural Networks
  with Differential Privacy
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
Zhiqi Bu
J. Mao
Shiyun Xu
131
47
0
21 May 2022
Sharpness-Aware Minimization Improves Language Model Generalization
Sharpness-Aware Minimization Improves Language Model Generalization
Dara Bahri
H. Mobahi
Yi Tay
121
98
0
16 Oct 2021
Differentially Private Fine-tuning of Language Models
Differentially Private Fine-tuning of Language Models
Da Yu
Saurabh Naik
A. Backurs
Sivakanth Gopi
Huseyin A. Inan
...
Y. Lee
Andre Manoel
Lukas Wutschitz
Sergey Yekhanin
Huishuai Zhang
134
346
0
13 Oct 2021
Efficient Sharpness-aware Minimization for Improved Training of Neural
  Networks
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Jiawei Du
Hanshu Yan
Jiashi Feng
Qiufeng Wang
Liangli Zhen
Rick Siow Mong Goh
Vincent Y. F. Tan
AAML
110
132
0
07 Oct 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
156
349
0
25 Sep 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for
  Private Learning
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
Da Yu
Huishuai Zhang
Wei Chen
Tie-Yan Liu
FedML
SILM
94
110
0
25 Feb 2021
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Nicolas Papernot
Abhradeep Thakurta
Shuang Song
Steve Chien
Ulfar Erlingsson
AAML
147
178
0
28 Jul 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
284
2,889
0
15 Sep 2016
1