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Open LLMs are Necessary for Current Private Adaptations and Outperform
  their Closed Alternatives
v1v2 (latest)

Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives

2 November 2024
Vincent Hanke
Tom Blanchard
Franziska Boenisch
Iyiola Emmanuel Olatunji
Michael Backes
Adam Dziedzic
    PILM
ArXiv (abs)PDFHTML

Papers citing "Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives"

3 / 3 papers shown
Title
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
Xun Wang
Jing Xu
Franziska Boenisch
Michael Backes
Christopher A. Choquette-Choo
Adam Dziedzic
AAML
41
0
0
19 Jun 2025
Position: Federated Foundation Language Model Post-Training Should Focus on Open-Source Models
Position: Federated Foundation Language Model Post-Training Should Focus on Open-Source Models
Nikita Agrawal
Simon Mertel
R. Mayer
83
0
0
29 May 2025
Privacy Auditing of Large Language Models
Ashwinee Panda
Xinyu Tang
Milad Nasr
Christopher A. Choquette-Choo
Prateek Mittal
PILM
139
10
0
09 Mar 2025
1