ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2506.15307
  4. Cited By
SecP-Tuning: Efficient Privacy-Preserving Prompt Tuning for Large Language Models via MPC
v1v2 (latest)

SecP-Tuning: Efficient Privacy-Preserving Prompt Tuning for Large Language Models via MPC

18 June 2025
Jinglong Luo
Zhuo Zhang
Yehong Zhang
Shiyu Liu
Ye Dong
Hui Wang
Hui Wang
Yue Yu
Zenglin Xu
ArXiv (abs)PDFHTMLGithub (1618★)

Papers citing "SecP-Tuning: Efficient Privacy-Preserving Prompt Tuning for Large Language Models via MPC"

0 / 0 papers shown

No papers found

Page 1 of 0