Recovering from Privacy-Preserving Masking with Large Language Models.
Arpita VatsZhe LiuPeng SuDebjyoti PaulYingyi MaYutong PangZeeshan AhmedOzlem KalinliPublished in: CoRR (2023)
Keyphrases
- privacy preserving
- language model
- language modeling
- privacy preserving data mining
- n gram
- document retrieval
- probabilistic model
- language modelling
- privacy preservation
- retrieval model
- vertically partitioned data
- multi party
- information retrieval
- private information
- query expansion
- sensitive information
- privacy sensitive
- privacy concerns
- test collection
- privacy issues
- horizontally partitioned data
- statistical language models
- preserving privacy
- privacy protection
- data privacy
- differential privacy
- relevance model
- query terms
- private data
- scalar product
- partitioned data
- privacy preserving association rule mining
- search engine
- privacy requirements
- sensitive data
- machine learning
- information loss