Abstract:Using artificial intelligence for text extraction can often require handling privacy-sensitive text. To avoid revealing confidential information, data owners and practitioners can use differential privacy, a definition of privacy with provable guarantees. In this work, we show how differential privacy can be applied to feature hashing.Feature hashing is a common technique for handling out-of-dictionary vocabulary, and for creating a lookup table to find feature weights in constant time. One of the special qual… Show more
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