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. 2010.08187
  4. Cited By
PrivNet: Safeguarding Private Attributes in Transfer Learning for
  Recommendation

PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation

16 October 2020
Guangneng Hu
Qiang Yang
ArXivPDFHTML

Papers citing "PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation"

1 / 1 papers shown
Title
CryptoTL: Private, Efficient and Secure Transfer Learning
CryptoTL: Private, Efficient and Secure Transfer Learning
Roman Walch
Samuel Sousa
Lukas Helminger
Stefanie N. Lindstaedt
Christian Rechberger
A. Trugler
38
8
0
24 May 2022
1