Abstract: The present application provides a method for unbalanced PSI. A first party holds a first data set, a second party holds a second data set, and the method includes: performing data preprocessing on private data in the first data set to obtain a first mapped data set; obtaining a function in a polynomial form through fitting based on the first mapped data set; combining coefficients of all terms in the function into a coefficient vector; receiving a public key from the second party, and performing homomorphic encryption on the coefficient vector by using the public key to obtain an encrypted coefficient vector; receiving a ciphertext input vector from the second party, and obtaining a ciphertext result through computation with reference to the encrypted coefficient vector; and sending the ciphertext result to the second party, so that the second party obtains a result of unbalanced PSI. Correspondingly, the present invention discloses an apparatus for unbalanced PSI.

Abstract: Disclosed herein are methods, systems, and media for privacy-protected user recognition. One of the methods comprising obtaining a biometric feature of a first user; performing homomorphic encryption on the biometric feature of the first user to obtain a first ciphertext feature; determining a candidate ciphertext feature from a predetermined ciphertext feature set based on the first ciphertext feature and a predetermined graph structure index, wherein the predetermined ciphertext feature set comprises a plurality of second ciphertext features obtained by performing the homomorphic encryption of a plurality of second biometric features of multiple second users, and wherein the predetermined graph structure index is generated based on similarity among at least some of the plurality of second ciphertext features in the predetermined ciphertext feature set; and determining a recognition result for the first user based on the candidate ciphertext feature.

Abstract: Disclosed herein are methods, systems, and media for privacy-protected user recognition. One of the methods comprising obtaining a biometric feature of a first user; performing homomorphic encryption on the biometric feature of the first user to obtain a first ciphertext feature; determining a candidate ciphertext feature from a predetermined ciphertext feature set based on the first ciphertext feature and a predetermined graph structure index, wherein the predetermined ciphertext feature set comprises a plurality of second ciphertext features obtained by performing the homomorphic encryption of a plurality of second biometric features of multiple second users, and wherein the predetermined graph structure index is generated based on similarity among at least some of the plurality of second ciphertext features in the predetermined ciphertext feature set; and determining a recognition result for the first user based on the candidate ciphertext feature.

Abstract: Provided are a benzamide derivative as shown in formula (I) or a pharmaceutically acceptable salt thereof, and the preparation method and use thereof for preparing a medicine for treating cancer, wherein the group definitions of formula (I) are as set out in the description.

Abstract: Provided are a benzamide derivative as shown in formula (I) or a pharmaceutically acceptable salt thereof, and the preparation method and use thereof for preparing a medicine for treating cancer, wherein the group definitions of formula (I) are as set out in the description.