%0 Journal Article %1 journals/access/MajeedH23 %A Majeed, Abdul %A Hwang, Seong Oun %D 2023 %J IEEE Access %K dblp %P 4400-4411 %T Quantifying the Vulnerability of Attributes for Effective Privacy Preservation Using Machine Learning. %U http://dblp.uni-trier.de/db/journals/access/access11.html#MajeedH23 %V 11

@article{journals/access/MajeedH23, added-at = {2024-02-13T00:00:00.000+0100}, author = {Majeed, Abdul and Hwang, Seong Oun}, biburl = {https://www.bibsonomy.org/bibtex/2b4b0229cd4b6dcd905e8821b51f5c43c/dblp}, ee = {https://doi.org/10.1109/ACCESS.2023.3235016}, interhash = {cf29e9f8c29d9ae84dba6612a359d926}, intrahash = {b4b0229cd4b6dcd905e8821b51f5c43c}, journal = {IEEE Access}, keywords = {dblp}, pages = {4400-4411}, timestamp = {2024-04-08T13:53:39.000+0200}, title = {Quantifying the Vulnerability of Attributes for Effective Privacy Preservation Using Machine Learning.}, url = {http://dblp.uni-trier.de/db/journals/access/access11.html#MajeedH23}, volume = 11, year = 2023 }