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Delving into Differentially Private Transformer

Delving into Differentially Private Transformer

28 May 2024
Youlong Ding
Xueyang Wu
Yining Meng
Yonggang Luo
Hao Wang
Weike Pan
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Papers citing "Delving into Differentially Private Transformer"

12 / 12 papers shown
Title
A Theoretical Survey on Foundation Models
A Theoretical Survey on Foundation Models
Shi Fu
Yuzhu Chen
Yingjie Wang
Dacheng Tao
21
0
0
15 Oct 2024
PrE-Text: Training Language Models on Private Federated Data in the Age
  of LLMs
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
Charlie Hou
Akshat Shrivastava
Hongyuan Zhan
Rylan Conway
Trang Le
Adithya Sagar
Giulia Fanti
Daniel Lazar
24
8
0
05 Jun 2024
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Xinyu Tang
Ashwinee Panda
Milad Nasr
Saeed Mahloujifar
Prateek Mittal
44
18
0
09 Jan 2024
Split-and-Denoise: Protect large language model inference with local
  differential privacy
Split-and-Denoise: Protect large language model inference with local differential privacy
Peihua Mai
Ran Yan
Zhe Huang
Youjia Yang
Yan Pang
21
10
0
13 Oct 2023
Privacy-Preserving Prompt Tuning for Large Language Model Services
Privacy-Preserving Prompt Tuning for Large Language Model Services
Yansong Li
Zhixing Tan
Yang Liu
SILM
VLM
43
63
0
10 May 2023
The Role of Adaptive Optimizers for Honest Private Hyperparameter
  Selection
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
Shubhankar Mohapatra
Sajin Sasy
Xi He
Gautam Kamath
Om Thakkar
109
32
0
09 Nov 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
344
0
13 Oct 2021
Hyperparameter Tuning with Renyi Differential Privacy
Hyperparameter Tuning with Renyi Differential Privacy
Nicolas Papernot
Thomas Steinke
123
119
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
144
348
0
25 Sep 2021
TEM: High Utility Metric Differential Privacy on Text
TEM: High Utility Metric Differential Privacy on Text
Ricardo Silva Carvalho
Theodore Vasiloudis
Oluwaseyi Feyisetan
34
36
0
16 Jul 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
128
178
0
28 Jul 2020
Efficient Per-Example Gradient Computations
Efficient Per-Example Gradient Computations
Ian Goodfellow
166
73
0
07 Oct 2015
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