Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism.

Antonio Ferrara|Angela Di Fazio|Alberto Carlo Maria Mancino|Tommaso Di Noia|Eugenio Di Sciascio


Anthology ID:DBLP:conf/ecir/FerraraFMNS25
Volume:Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III
Year:2025
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:34-51
URL:https://doi.org/10.1007/978-3-031-88714-7_3
DOI:https://doi.org/10.1007/978-3-031-88714-7_3
DBLP:conf/ecir/FerraraFMNS25
BibTeX:
@inproceedings{ferrara-2025-enhancing, author = {Antonio Ferrara and Angela Di Fazio and Alberto Carlo Maria Mancino and Tommaso Di Noia and Eugenio Di Sciascio}, editor = {Claudia Hauff and Craig Macdonald and Dietmar Jannach and Gabriella Kazai and Franco Maria Nardini and Fabio Pinelli and Fabrizio Silvestri and Nicola Tonellotto}, title = {{Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism}}, booktitle = {{Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III}}, series = {Lecture Notes in Computer Science}, volume = {15574}, pages = {34--51}, publisher = {Springer}, year = {2025}, url = {https://doi.org/10.1007/978-3-031-88714-7_3}, doi = {https://doi.org/10.1007/978-3-031-88714-7_3} }