ResearchTrend.AI
Power-Softmax: Towards Secure LLM Inference over Encrypted Data

Power-Softmax: Towards Secure LLM Inference over Encrypted Data

Itamar Zimerman
Allon Adir
E. Aharoni
Matan Avitan
Moran Baruch
Nir Drucker
Jenny Lerner
Ramy Masalha
Reut Meiri
Omri Soceanu
ArXivPDFHTML

Papers citing "Power-Softmax: Towards Secure LLM Inference over Encrypted Data"

11 / 11 papers shown
Title
Efficient Skip Connections Realization for Secure Inference on Encrypted Data
Efficient Skip Connections Realization for Secure Inference on Encrypted Data
Nir Drucker
Itamar Zimerman
32
1
0
11 Jun 2023
LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers
LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers
Xuanqing Liu
Zhuotao Liu
47
23
0
28 May 2023
Primer: Fast Private Transformer Inference on Encrypted Data
Primer: Fast Private Transformer Inference on Encrypted Data
Mengxin Zheng
Qian Lou
Lei Jiang
56
32
0
23 Mar 2023
A methodology for training homomorphicencryption friendly neural networks
A methodology for training homomorphicencryption friendly neural networks
Moran Baruch
Nir Drucker
L. Greenberg
Guy Moshkowich
48
14
0
05 Nov 2021
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data
Junghyun Lee
Eunsang Lee
Joon-Woo Lee
Yongjune Kim
Young-Sik Kim
Jong-Seon No
87
58
0
23 May 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
444
2,093
0
31 Dec 2020
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data
E. Aharoni
Allon Adir
Moran Baruch
Nir Drucker
Gilad Ezov
...
Ramy Masalha
Guy Moshkowich
Dov Murik
Hayim Shaul
Omri Soceanu
FedML
89
57
0
03 Nov 2020
$Π-$nets: Deep Polynomial Neural Networks
Π−Π-nets: Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Yannis Panagakis
Jiankang Deng
Stefanos Zafeiriou
52
59
0
08 Mar 2020
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
612
24,431
0
26 Jul 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott
Sergey Edunov
Alexei Baevski
Angela Fan
Sam Gross
Nathan Ng
David Grangier
Michael Auli
VLM
FaML
103
3,149
0
01 Apr 2019
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
1.1K
7,154
0
20 Apr 2018

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.