A study of event frequency profiling with differential privacy
Hailong Zhang, Yu Hao, Sufian Latif, Raef Bassily, Atanas Rountev · 2020
Program profiling is widely used to measure run-time execution properties---for example, the frequency of method and statement execution. Such profiling could be applied to deployed software to gain performance insights about the behavior of many instances of the analyzed software. However, such data gathering raises privacy concerns: for example, it reveals whether (and how often) a software user accesses a particular software functionality. There is growing interest in adding privacy protections for many categories of data analyses, but such techniques have not been studied sufficiently for program event profiling.