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Can Foundation Models Help Us Achieve Perfect Secrecy?

Can Foundation Models Help Us Achieve Perfect Secrecy?

27 May 2022
Simran Arora
Christopher Ré
    FedML
ArXivPDFHTML

Papers citing "Can Foundation Models Help Us Achieve Perfect Secrecy?"

15 / 15 papers shown
Title
On the Benefits of Public Representations for Private Transfer Learning
  under Distribution Shift
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
Pratiksha Thaker
Amrith Rajagopal Setlur
Zhiwei Steven Wu
Virginia Smith
37
2
0
24 Dec 2023
Position: Considerations for Differentially Private Learning with
  Large-Scale Public Pretraining
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
Florian Tramèr
Gautam Kamath
Nicholas Carlini
SILM
38
67
0
13 Dec 2022
Ask Me Anything: A simple strategy for prompting language models
Ask Me Anything: A simple strategy for prompting language models
Simran Arora
A. Narayan
Mayee F. Chen
Laurel J. Orr
Neel Guha
Kush S. Bhatia
Ines Chami
Frederic Sala
Christopher Ré
ReLM
LRM
211
206
0
05 Oct 2022
Can Foundation Models Wrangle Your Data?
Can Foundation Models Wrangle Your Data?
A. Narayan
Ines Chami
Laurel J. Orr
Simran Arora
Christopher Ré
LMTD
AI4CE
178
213
0
20 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
311
11,915
0
04 Mar 2022
PromptSource: An Integrated Development Environment and Repository for
  Natural Language Prompts
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Stephen H. Bach
Victor Sanh
Zheng-Xin Yong
Albert Webson
Colin Raffel
...
Khalid Almubarak
Xiangru Tang
Dragomir R. Radev
Mike Tian-Jian Jiang
Alexander M. Rush
VLM
225
338
0
02 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
355
8,457
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
213
1,656
0
15 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
ZeRO-Offload: Democratizing Billion-Scale Model Training
ZeRO-Offload: Democratizing Billion-Scale Model Training
Jie Ren
Samyam Rajbhandari
Reza Yazdani Aminabadi
Olatunji Ruwase
Shuangyang Yang
Minjia Zhang
Dong Li
Yuxiong He
MoE
160
413
0
18 Jan 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,312
0
17 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
253
1,986
0
31 Dec 2020
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
168
564
0
27 Jul 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
228
4,460
0
23 Jan 2020
Slalom: Fast, Verifiable and Private Execution of Neural Networks in
  Trusted Hardware
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr
Dan Boneh
FedML
114
395
0
08 Jun 2018
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