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SentinelLMs: Encrypted Input Adaptation and Fine-tuning of Language
  Models for Private and Secure Inference

SentinelLMs: Encrypted Input Adaptation and Fine-tuning of Language Models for Private and Secure Inference

28 December 2023
Abhijit Mishra
Mingda Li
S. Deo
    SILM
ArXivPDFHTML

Papers citing "SentinelLMs: Encrypted Input Adaptation and Fine-tuning of Language Models for Private and Secure Inference"

4 / 4 papers shown
Title
Privacy-Preserving Text Classification on BERT Embeddings with
  Homomorphic Encryption
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption
Garam Lee
Minsoo Kim
J. Park
Seung-won Hwang
Jung Hee Cheon
38
17
0
05 Oct 2022
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
351
0
13 Oct 2021
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
304
7,005
0
20 Apr 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
322
31,297
0
16 Jan 2013
1