Matías Mazzanti, Esteban Mocskos, et al.
ISCA 2025
We consider a scenario in multi-domain operations where the users in one domain need to perform searches on information hosted by a provider in another domain. It is very common in many scenarios that information cannot be shared openly across different d omains, a nd u sers m ay w ant t o o bfuscate t heir s earches a nd prevent the search provider from learning the intent of their searches. In scenarios where search privacy is important, the use of a large language model can help implement an obfuscation approach relying on generation of decoy queries to obfuscate the real query. In this paper, we consider different a lternative a pproaches t o u se l arge language models for search privacy, compare their strengths and weaknesses, and discuss their effectiveness.
Matías Mazzanti, Esteban Mocskos, et al.
ISCA 2025
Zhiyuan He, Yijun Yang, et al.
ICML 2024
Anindo Banerjea, Domenico Ferrari, et al.
IEEE/ACM Transactions on Networking
Teryl Taylor, Frederico Araujo, et al.
Big Data 2020