  Code authorship attribution is the problem of identifying authors of
programming language codes through the stylistic features in their codes, a
topic that recently witnessed significant interest with outstanding
performance. In this work, we present SCAE, a code authorship obfuscation
technique that leverages a Seq2Seq code transformer called StructCoder. SCAE
customizes StructCoder, a system designed initially for function-level code
translation from one language to another (e.g., Java to C#), using transfer
learning. SCAE improved the efficiency at a slight accuracy degradation
compared to existing work. We also reduced the processing time by about 68%
while maintaining an 85% transformation success rate and up to 95.77% evasion
success rate in the untargeted setting.
