Privacy-Preserving Feature Selection with Secure Multiparty Computation

                  Xiling Li 1 Rafael Dowsley 2 Martine De Cock 1 3

             Abstract                 nature. Protection of user data has become a significant
                                 concern in ML model development and deployment, giving
   Existing work on privacy-preserving machine
                                 rise to laws to safeguard the privacy of users, such as the Eu-
   learning with Secure Multipar ...