Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be expensive and ...

Existing code similarity comparison methods, whether source or binary code based, are mostly not resilient to obfuscations. Identifying similar or identical code fragments among programs is very ...