Unlearning Protected User Attributes in Recommendations with Adversarial Training.

Christian Ganhör|David Penz|Navid Rekabsaz|Oleg Lesota|Markus Schedl


Anthology ID:DBLP:conf/sigir/GanhorPRLS22
Volume:SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
Year:2022
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2142-2147
URL:https://doi.org/10.1145/3477495.3531820
DOI:https://doi.org/10.1145/3477495.3531820
DBLP:conf/sigir/GanhorPRLS22
BibTeX:
@inproceedings{ganhor-2022-unlearning, author = {Christian Ganh\"{o}r and David Penz and Navid Rekabsaz and Oleg Lesota and Markus Schedl}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{Unlearning Protected User Attributes in Recommendations with Adversarial Training}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {2142--2147}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3531820}, doi = {https://doi.org/10.1145/3477495.3531820} }