Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduce a filtering methodology based on locality-sensitive hashing LSH and whitening transformation to reduce candidate tuples beten which encrypted vector databases EVDBs must compute similarity for query processing. The LSH hashing methodology is efficient for estimating similarities beten two vectors. It hashes a vector space using randomly chosen vectors.  can filter vectors that are less similar to the querying vectors by recording which hashed space each vector belongs to. Hover, if vectors in EVDBs are found locally, then most vectors are in the same hashed space, so the filter will not work. Because  can treat those cases using whitening transformation to distribute the vectors broadly, our proposed filtering methodology will work effectively on any vector space.  also show that our filter reduces the server's query processing cost.
['Junpei Kawamoto']
I am writing a research paper on a idea A Locality Sensitive Hashing Filter for Encrypted Vector Databases
[{"from": "human", "value": "I am writing a research paper on a idea A Locality Sensitive Hashing Filter for Encrypted Vector Databases"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduce a filtering methodology based on locality-sensitive hashing LSH and whitening transformation to reduce candidate tuples beten which encrypted vector databases EVDBs must compute similarity for query processing. The LSH hashing methodology is efficient for estimating similarities beten two vectors. It hashes a vector space using randomly chosen vectors.  can filter vectors that are less similar to the querying vectors by recording which hashed space each vector belongs to. Hover, if vectors in EVDBs are found locally, then most vectors are in the same hashed space, so the filter will not work. Because  can treat those cases using whitening transformation to distribute the vectors broadly, our proposed filtering methodology will work effectively on any vector space.  also show that our filter reduces the server's query processing cost."}]