4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CR2023★ 1 cited
Does Prompt-Tuning Language Model Ensure Privacy?
Shangyu Xie, Wei Dai, Esha Ghosh +3
Prompt-tuning has received attention as an efficient tuning method in the language domain, i.e., tuning a prompt that is a few tokens long, while keeping the large language model f…
cs.CR2014★ 4 cited
Verifiable Member and Order Queries on a List in Zero-Knowledge
Esha Ghosh, Olga Ohrimenko, Roberto Tamassia
We introduce a formal model for order queries on lists in zero knowledge in the traditional authenticated data structure model. We call this model Privacy-Preserving Authenticated…
cs.CR2014
Verifiable Privacy-Preserving Member and Order Queries on a List
Esha Ghosh, Olga Ohrimenko, Roberto Tamassia
We introduce a formal model for membership and order queries on privacy-preserving authenticated lists. In this model, the queries are performed on the list stored in the cloud whe…