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Secure Transformer Inference Protocol
v1v2 (latest)

Secure Transformer Inference Protocol

14 November 2023
Mu Yuan
Lan Zhang
Xiang-Yang Li
ArXiv (abs)PDFHTML

Papers citing "Secure Transformer Inference Protocol"

12 / 12 papers shown
Title
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
308
344
0
11 Sep 2022
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
Tim Dettmers
M. Lewis
Younes Belkada
Luke Zettlemoyer
MQ
110
664
0
15 Aug 2022
Binarizing Split Learning for Data Privacy Enhancement and Computation
  Reduction
Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction
Ngoc Duy Pham
A. Abuadbba
Yansong Gao
K. Phan
Naveen Chilamkurti
46
35
0
10 Jun 2022
Towards Secure and Practical Machine Learning via Secret Sharing and
  Random Permutation
Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation
Fei Zheng
Chaochao Chen
Xiaolin Zheng
Mingjie Zhu
FedML
40
21
0
17 Aug 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
502
10,526
0
17 Jun 2021
Unleashing the Tiger: Inference Attacks on Split Learning
Unleashing the Tiger: Inference Attacks on Split Learning
Dario Pasquini
G. Ateniese
M. Bernaschi
FedML
107
152
0
04 Dec 2020
SplitFed: When Federated Learning Meets Split Learning
SplitFed: When Federated Learning Meets Split Learning
Chandra Thapa
Pathum Chamikara Mahawaga Arachchige
S. Çamtepe
Lichao Sun
FedML
92
589
0
25 Apr 2020
Longformer: The Long-Document Transformer
Longformer: The Long-Document Transformer
Iz Beltagy
Matthew E. Peters
Arman Cohan
RALMVLM
185
4,100
0
10 Apr 2020
Can We Use Split Learning on 1D CNN Models for Privacy Preserving
  Training?
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?
Sharif Abuadbba
Kyuyeon Kim
Minki Kim
Chandra Thapa
S. Çamtepe
Yansong Gao
Hyoungshick Kim
Surya Nepal
FedML
56
123
0
16 Mar 2020
NeMo: a toolkit for building AI applications using Neural Modules
NeMo: a toolkit for building AI applications using Neural Modules
Oleksii Kuchaiev
Jason Chun Lok Li
Huyen Nguyen
Oleksii Hrinchuk
Ryan Leary
...
Jack Cook
P. Castonguay
Mariya Popova
Jocelyn Huang
Jonathan M. Cohen
259
308
0
14 Sep 2019
Generating Long Sequences with Sparse Transformers
Generating Long Sequences with Sparse Transformers
R. Child
Scott Gray
Alec Radford
Ilya Sutskever
135
1,919
0
23 Apr 2019
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
281
2,603
0
28 Mar 2008
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