Sheth Swapneel Kalpesh author Columbia University. Computer Science Kaiser Gail E. author Columbia University. Electrical Engineering Columbia University. Computer Science originator contributor text Technical reports New York Department of Computer Science, Columbia University 2012 Privacy in social computing systems has become a major concern. End-users of such systems find it increasingly hard to understand complex privacy settings. As software evolves over time, this might introduce bugs that breach users' privacy. Further, there might be system-wide policy changes that could change users' settings to be more or less private than before. We present a novel technique that can be used by end-users for detecting changes in privacy, i.e., regression testing for privacy. Using a social approach for detecting privacy bugs, we present two prototype tools. Our evaluation shows the feasibility and utility of our approach for detecting privacy bugs. We highlight two interesting case studies on the bugs that were discovered using our tools. To the best of our knowledge, this is the first technique that leverages regression testing for detecting privacy bugs from an end-user perspective. Computer science CUCS-015-12 http://hdl.handle.net/10022/AC:P:14776 English NNC NNC 2012-09-26 13:43:57 -0400 2012-09-26 13:48:02 -0400 8784 eng