Effectiveness of Privacy-preserving Algorithms in LLMs: A Benchmark and Empirical Analysis.

Jinglin Sun|Basem Suleiman|Imdad Ullah|Imran Razzak


Anthology ID:DBLP:conf/www/SunSUR25
Volume:Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:5224-5233
URL:https://doi.org/10.1145/3696410.3714531
DOI:https://doi.org/10.1145/3696410.3714531
DBLP:conf/www/SunSUR25
BibTeX:
@inproceedings{sun-2025-effectiveness, author = {Jinglin Sun and Basem Suleiman and Imdad Ullah and Imran Razzak}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Effectiveness of Privacy-preserving Algorithms in LLMs: A Benchmark and Empirical Analysis}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {5224--5233}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714531}, doi = {https://doi.org/10.1145/3696410.3714531} }