A Girl Has A Name, And It's ... Adversarial Authorship Attribution for Deobfuscation. (arXiv:2203.11849v1 [cs.CL])

Recent advances in natural language processing have enabled powerful
privacy-invasive authorship attribution. To counter authorship attribution,
researchers have proposed a variety of rule-based and learning-based text
obfuscation approaches. However, existing authorship obfuscation approaches do
not consider the adversarial threat model. Specifically, they are not evaluated
against adversarially trained authorship attributors that are aware of
potential obfuscation. To fill this gap, we investigate the problem of
adversarial authorship attribution for deobfuscation. We show that
adversarially trained authorship attributors are able to …

adversarial attribution deobfuscation name