  Constructing lineages of malware is an important cyber-defense task.
Performing this task is difficult, however, due to the amount of malware data
and obfuscation techniques by the authors. In this work, we formulate the
lineage task as a probabilistic model, and use a novel probabilistic
programming solution to jointly infer the lineage and creation times of
families of malware.
