document: When do data mining results violate privacy ? Privacy-preserving data mining has concentrated on obtaining valid results when the input data is private . An extreme example is Secure Multiparty Computation-based methods , where only the results are revealed . However , this still leaves a potential privacy breach : Do the results themselves violate privacy ? This paper explores this issue , developing a framework under which this question can be addressed . Metrics are proposed , along with analysis that those metrics are consistent in the face of apparent problems .
doc_bio_tags: O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O