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DP-FP: Differentially Private Forward Propagation for Large Models

DP-FP: Differentially Private Forward Propagation for Large Models

29 December 2021
Jian Du
Haitao Mi
ArXivPDFHTML

Papers citing "DP-FP: Differentially Private Forward Propagation for Large Models"

4 / 4 papers shown
Title
Differentially Private Natural Language Models: Recent Advances and
  Future Directions
Differentially Private Natural Language Models: Recent Advances and Future Directions
Lijie Hu
Ivan Habernal
Lei Shen
Di Wang
AAML
30
18
0
22 Jan 2023
Adaptive Differentially Private Empirical Risk Minimization
Adaptive Differentially Private Empirical Risk Minimization
Xiaoxia Wu
Lingxiao Wang
Irina Cristali
Quanquan Gu
Rebecca Willett
38
6
0
14 Oct 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
290
1,815
0
14 Dec 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
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