Abstract: A method includes obtaining a plurality of representative vectors associated with face-related data. The method includes determining an encryption key based on a parameter stored in a record, generating an encrypted vector set by, for each respective vector of the plurality of representative vectors, encrypting the respective vector with a homomorphic encryption operation based on the encryption key, where the encrypted vector set includes a first encrypted vector that is linked to a subset of the face-related data associated with the first plurality of face vectors. The method further includes obtaining an encrypted face search vector using the encryption key to perform homomorphic encryption. The method further includes selecting a first encrypted vector based on the encrypted face search vector and retrieving the subset of the face-related data based on the first encrypted vector.

Abstract: A method includes generating a first representative vector based on a first vectors, wherein the first representative vector is associated with the first vectors in a collection of representative vectors, and the first vectors comprises a set of vector values within a latent space. The method further includes generating a second representative vector based on a second vectors, wherein the second representative vector is associated with the second vectors in the collection of representative vectors. The method further includes determining a latent space distance based on the first and second vectors. The method further includes determining whether the latent space distance satisfies a threshold. In response to a determination that the latent space distance satisfies the threshold, the method further includes associating a combined representative vector with the first vectors and the second vectors and removing the first and second representative vectors from the collection of representative vectors.

Abstract: A method includes generating a first representative vector based on a first vectors, wherein the first representative vector is associated with the first vectors in a collection of representative vectors, and the first vectors comprises a set of vector values within a latent space. The method further includes generating a second representative vector based on a second vectors, wherein the second representative vector is associated with the second vectors in the collection of representative vectors. The method further includes determining a latent space distance based on the first and second vectors. The method further includes determining whether the latent space distance satisfies a threshold. In response to a determination that the latent space distance satisfies the threshold, the method further includes associating a combined representative vector with the first vectors and the second vectors and removing the first and second representative vectors from the collection of representative vectors.

Abstract: A method includes obtaining a plurality of representative vectors associated with face-related data. The method includes determining an encryption key based on a parameter stored in a record, generating an encrypted vector set by, for each respective vector of the plurality of representative vectors, encrypting the respective vector with a homomorphic encryption operation based on the encryption key, where the encrypted vector set includes a first encrypted vector that is linked to a subset of the face-related data associated with the first plurality of face vectors. The method further includes obtaining an encrypted face search vector using the encryption key to perform homomorphic encryption. The method further includes selecting a first encrypted vector based on the encrypted face search vector and retrieving the subset of the face-related data based on the first encrypted vector.