ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.11935
  4. Cited By
CryptoTL: Private, Efficient and Secure Transfer Learning

CryptoTL: Private, Efficient and Secure Transfer Learning

24 May 2022
Roman Walch
Samuel Sousa
Lukas Helminger
Stefanie N. Lindstaedt
Christian Rechberger
A. Trugler
ArXivPDFHTML

Papers citing "CryptoTL: Private, Efficient and Secure Transfer Learning"

3 / 3 papers shown
Title
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic
  Encryption
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
Seewoo Lee
Garam Lee
Jung Woo Kim
Junbum Shin
Mun-Kyu Lee
36
26
0
21 Mar 2024
SoK: Fully Homomorphic Encryption Compilers
SoK: Fully Homomorphic Encryption Compilers
Alexander Viand
Patrick Jattke
Anwar Hithnawi
38
98
0
18 Jan 2021
CrypTFlow: Secure TensorFlow Inference
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar
Mayank Rathee
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
99
235
0
16 Sep 2019
1